Platform and method for tokenization of precious physical assets

ABSTRACT

A system, method, device, and data platform for tokenization of a precious physical, virtual, and data assets utilizing tokens. Information and asset price or variable cost or price ranges regarding the precious physical asset is determined. The precious physical asset is associated with one or more tokens. The one or more tokens represent ownership of the precious physical asset.

PRIORITY

This application claims priority to U.S. Provisional Patent ApplicationNo. 63/242,123 filed Sep. 9, 2021, respectively, which is herebyincorporated by reference in its entirety.

BACKGROUND I. Field of the Disclosure

The illustrative embodiments relate to personal data management. Morespecifically, but not exclusively, the illustrative embodiments relateto a network, system, method, apparatus, and platform for datatokenization, physical asset tokenization, virtual asset tokenization,and monetization.

II. Description of the Art

The generation of various types of data including personal andcommercial data has increased exponentially in recent years.Corporations and consumers create and store large volumes ofunstructured data from multiple sources with no way of refining,valuing, and monetizing their data. Consumers' data is commonlygenerated and monetized from consumer web searches, profile data, socialmedia profiles, and online surveys that generate revenue throughadvertisement delivery and brand to consumer marketing and outreachconnectivity with no compensation to the actual owners of the data, theindividual consumers/users, consumer groups, organizations, and datagenerators themselves.

SUMMARY OF THE DISCLOSURE

The illustrative embodiments provide a system, method, device, and dataplatform for tokenization of a precious physical, virtual, and dataassets utilizing tokens. Information and asset price or variable cost orprice ranges regarding the precious physical asset is determined. Theprecious physical asset is associated with one or more tokens. The oneor more tokens represent ownership of the precious physical asset.Another embodiment provides a data platform including a processor and amemory storing a set of instructions. The set of instructions areexecuted to perform the method herein described.

For the purpose of clarity, precious physical assets may include 1)real-world or physical assets, 2) virtual, digital, and data assets,and/or a combination of both. Another embodiment provides a system fortokenizing and managing a precious physical asset utilizing one or moretokens. The system includes electronic devices executing a dataapplication. The data application is configured to communicateinformation regarding the precious physical assets. The system alsoincludes a data platform accessible by the electronic devices executingthe data application through one or more networks. The data platformdetermines the market rate of the asset or may assign a potential valueor a fixed price cost and may also help determine other relevantnon-fixed pricing information regarding the precious physical asset,associates the precious physical asset with one or more tokens,communicates availability and smart contract assigned cost or accessrequirements of the one or more tokens associated with the preciousphysical asset, implements transactions for the one or more tokens, anddistributes monies paid during the transactions for transfer ofownership or access to the one or more tokens associated with theprecious physical asset, wherein the one or more tokens representapproved access, tracking ownership, or transfer of ownership of theprecious physical asset.

The illustrative embodiments provide a system, method, device, and dataplatform for obtaining corporate data associated with one or morecorporations. The corporate data is received by a data platform. Thecorporate data is segmented and tokenized into one or more tokens. Thecorporate data is valued. Potential monetization strategies aredetermined and options and recommendations for data value or tokenvaluation are established, data value is calculated, marketed, andsolicited for the improved monetization of corporate data. Themonetization strategies are presented to one or more corporations,consumers, or other 3^(rd) parties. Another embodiment provides a dataplatform including a processor and a memory storing a set ofinstructions. The set of instructions are executed to perform the methodherein described.

The illustrative embodiments provide a system, method, device, andplatform for managing carbon credits utilizing tokens. Carbon creditsassociated with a unit of carbon emissions are received. The carboncredits are tokenized to create tokens associated with each of thecarbon credit types. The carbon credits are marketed to authorizedparties. Transactions for the tokens associated with the carbon creditsare performed. The transactions for the tokens are documented. Anotherembodiment provides a platform including a processor and a memorystoring a set of instructions. The set of instructions are executed toperform the method herein described.

The illustrative embodiments provide a system, method, device, and dataplatform for managing DNA data utilizing tokens. DNA data associatedwith a user is obtained. The DNA data is stored in a DNA profileassociated with the user by a data platform. The DNA data is tokenizedinto one or more tokens. The DNA data is monetized. Another embodimentprovides a data platform including a processor and a memory storing aset of instructions. The set of instructions are executed to perform themethod herein described. The illustrative embodiments provide a system,method, device, and data platform for managing gaming data utilizingtokens. Gaming data associated with a player and one or more games areobtained. The gaming data is received by a data platform. The gamingdata is inserted in a gaming profile. The gaming data is tokenized intoone or more tokens. The gaming data is monetized based on preferenceswithin the gaming profile. Another embodiment provides a data platformincluding a processor and a memory storing a set of instructions. Theset of instructions are executed to perform the method herein described.

The illustrative embodiments provide a system, method, device, andplatform for managing content utilizing tokens from a data platform.Providing an incentive for a user to generate content. The content isreceived from the user. The content is tokenized into one or moretokens. The tokenized content is distributed. The tokenized content ismonetized based on a smart contract. Another embodiment provides aplatform including a processor and a memory storing a set ofinstructions. The set of instructions are executed to perform the methodherein described.

The illustrative embodiments provide a system, method, device, andplatform for monetizing user data. One or more data elements associatedwith user data of a user are received from one of a number of sources.One or more tokens are created based on the user data. The user data isstored in a secure location. The user data is vended to one of a numberof parties utilizing the one or more tokens. The user data is accessiblefrom the secure location utilizing an indicator included in the one ormore tokens. The user is compensated for vending the user data. Anotherembodiment provides a processor for executing a set of instructions anda memory storing a set of instructions configured to perform the methodherein described.

Another embodiment provides a system for monetizing corporate andworkplace user data. The system includes electronic devices executing adata application. The data application is configured to capture the userdata associated with a user. The system also includes a data platformaccessible by the electronic devices executing the data applicationthrough one or more networks. The data platform receives one or moredata elements associated with the user data of the user from one of aplurality of sources, creates one or more tokens based on the user data,store the user data in a secure location, the user profile may denyaccess to the user data, or the user profile approves and vends accessto user data and the data is exchanged to one of a plurality of partiesutilizing the one or more tokens, and compensates the user for vendingthe user data, wherein the data is accessible from the secure locationutilizing an indicator included in the one or more tokens.

Another embodiment provides a system for utilizing corporate andworkplace user data. The system includes electronic devices executing adata application. The data application is configured to capture the userdata associated with a user. The system also includes a data platformaccessible by the electronic devices executing the data applicationthrough one or more networks. The data platform receives one or moredata elements associated with the user data from the electronic devices,automatically confirms the one or more data elements are applicable tothe user, adds the one or more data elements to a data set associatedwith the user, determines whether the data set is complete after addingthe data element to the data set, and creates one or more tokens basedon the data set of the user.

Another embodiment provides a data platform. The data platform mayinclude a processor for executing a set of instructions and a memory forstoring the set of instructions. The set of instructions may be executedto receive one or more data elements associated with the user data fromone of a number of sources, automatically confirm the one or more dataelements is applicable to the user, add the one or more data elements toa data set associated with the user, determine whether the data set iscomplete after adding the data element to the data set, and create oneor more tokens based on the data set of the user.

In other embodiments, one or more of the following may be implemented.Instructions are received from the user specifying how the data set isutilized and the user is compensated for sharing the tokens with one ormore interested parties. Additional data elements may be requested inresponse to determining the data set is complete or incomplete utilizingquestions, surveys, and a user profile associated with the user. The oneor more data elements are authenticated as being associated with theuser. The token is a blockchain crypto token and points to the data setfor secure access by one or more interested parties. Distinct data setsare clustered into a data pool, the data pool is cross populated withdistinct data sets, and the data pool is segmented to identifysaturation, missing, incomplete, or nonrelevant data. A determination ismade regarding the relevance of the data pool to one or more interestedparties. Payments are received from one or more interested parties toaccess the data set utilizing the token. One or more users arecompensated for granting access to their data sets. The interestedparties represent advertisers, marketers, data brokers, consumeroutreach, or businesses that desire access to the user data in the dataset.

The illustrative embodiments provide a system, method, and platform formonetizing data. A selection is received from a user to monetize dataassociated with the user. The data associated with user is compiled. Asecurity token is generated including the data. The data is monetizedutilizing the security token in accordance with the selection.

In other embodiments, the data may include digital profiles and digitalassets that are monetized for data and asset tracking purposes. Datavalidation may be performed through user opt-ins that are identified andconfirmed by the user. Token based compensation for consumer data allowsfor the direct control and monetization of their data (e.g., web data,application data, profiles, personal measurements, readings, etc.).Compensation may be performed through digital currencies, hardcurrencies, charitable contributions, and tax deductions. The earningsfor a user may also be donated. Users may be rewarded for additionaldata uploads, updates, additions, amendments, surveys/questionnairefulfillment, and so forth. The tokens may be utilized to pay a vendor orthird party for a product, service, system, or data, secure a digitalasset, tracking the life of an asset, share a stake in an asset orcompany, participate in an initial coin offering, receive a reward,maintaining and managing a digital asset, make a charitablecontribution, or receive a tax deduction.

In other embodiments, the data may include digital profiles that aremonetized for access to specific consumer or corporate data points. Datavalidation may be performed through user opt-ins that are identified andconfirmed by the user. Token based compensation for consumer data allowsfor the direct control and monetization of their data (e.g., web data,application data, profiles, personal measurements, readings, etc.).Compensation may be performed through digital currencies, hardcurrencies, charitable contributions, and tax deductions. The earningsfor a user may also be donated. Users may be rewarded for additionaldata uploads, updates, additions, amendments, surveys/questionnairefulfillment, and so forth. The tokens may be utilized to pay a vendor orthird party for a product, service, system, or data, secure a digitalasset, tracking the life of an asset, share a stake in an asset orcompany, participate in an initial coin offering, receive a reward,maintaining and managing a digital asset, make a charitablecontribution, or receive a tax deduction.

In other embodiments, the data may include digital political profilesand political opinions that are monetized for specific data pointsrelated to political affiliation, user political beliefs, and votingplans are self-identified data and self-validation may be performedthrough user opt-ins that are identified and confirmed by the user.Token based compensation for political data such as voting preferencesor other determinations made prior to the vote being cast can be usedfor political mapping and polling and allows for the user to have moredirect control over the user and monetization of their political data.Refineries can be created for the data that the political campaigns ownthis data can then be resold. User compensation may be generated by thepolitician or political campaigns and paid to the data owners in orderto test the temperature on any issue that might be important to theirconstituents. The compensation may be generated from the politicians,political campaigns or through political action groups utilizing aprocess that allows voters to tokenize their data and political opinionand receive remuneration through digital currencies, hard currencies,charitable contributions, and tax deductions. The earnings for a user'sdata may also be donated to the campaign of their choice. Users may besolicited and rewarded for additional data uploads, updates, additions,amendments, surveys/questionnaire fulfillment, and so forth. The tokensmay be utilized to pay a vendor or third party for a product, service,system, or data, secure a digital asset, tracking the life of an asset,share a stake in an asset or company, participate in an initial coinoffering, receive a reward, maintaining and managing a digital asset,make a charitable contribution, or receive a tax deduction.

BRIEF DESCRIPTION OF THE DRAWINGS

Illustrated embodiments are described in detail below with reference tothe attached drawing figures, which are incorporated by referenceherein, and where:

FIG. 1 is a pictorial representation of a system for managing userinformation in accordance with an illustrative embodiment;

FIG. 2 further illustrates portions of the system of FIG. 1 inaccordance with an illustrative embodiment;

FIG. 3 is a flowchart of a process for vending data in accordance withan illustrative embodiment;

FIG. 4 is a flowchart of a process for storing data in accordance withan illustrative embodiment;

FIG. 5 is a flowchart of a process for monetizing data in accordancewith an illustrative embodiment;

FIG. 6 is a flowchart of a process for documenting a transaction inaccordance with an illustrative embodiment;

FIG. 7 is a pictorial representation of a platform for monetizing datain accordance with an illustrative embodiment;

FIG. 8 is a pictorial representation of a platform for monetizing datain accordance with an illustrative embodiment;

FIG. 9 depicts a computing system in accordance with an illustrativeembodiment;

FIG. 10 is a flowchart of a process for creating content forcompensation in accordance with an illustrative embodiment;

FIG. 11 is a flowchart of a process for processing for controllingcontent in accordance with an illustrative embodiment;

FIG. 12 is a flowchart of a process for targeted advertisements inaccordance with an illustrative embodiment;

FIG. 13 is a flowchart of a process for utilizing corporate data inaccordance with an illustrative embodiment;

FIG. 14 is a flowchart of a process for generating a tax return inaccordance with an illustrative embodiment;

FIG. 15 is a flowchart of a process for monetizing DNA data inaccordance with an illustrative embodiment;

FIG. 16 is a flowchart of a process for monetizing gaming data inaccordance with an illustrative embodiment;

FIG. 17 is a flowchart of a process for distributing content inaccordance with an illustrative embodiment;

FIG. 18 is a flowchart of a process for monetizing human resource datain accordance with an illustrative embodiment;

FIG. 19 is a flowchart of a process for processing carbon credits inaccordance with an illustrative embodiment;

FIG. 20 is a flowchart of a process for monetizing tokens associatedwith a player in accordance with an illustrative embodiment;

FIG. 21 is a flowchart of a process for protecting a precious assetutilizing a token in accordance with an illustrative embodiment;

FIG. 22 is a flowchart of a process for authenticating a token utilizingan inaudible tone in accordance with an illustrative embodiment;

FIG. 23 is a flowchart of a process custom token generation inaccordance with an illustrative embodiment;

FIG. 24 is a pictorial representation of physical and virtual itemsassociated with a blockchain token in accordance with the illustrativeembodiments; and

FIG. 25 is a representation of a token created based on an asset inaccordance with an illustrative embodiment.

DETAILED DESCRIPTION OF THE DISCLOSURE

The illustrative embodiments provide a network, system, method,platform, and devices for data segmentation for improved data and assetmanagement and monetization. The data management may include datacontrol, data governance, data valuation, compliance and security, riskmanagement, anti-money laundering control Fraud detection, sanctionscreening, regulatory reporting. The illustrative embodiments provideindividual consumers, entities, organizations, corporations, and datavendors a measurements, pool, segment, and value for consumer andcorporate data. As a result, the data may be utilized as a measurableasset. The data value may be derived from the segmentation andidentification of unique data points within a larger shared data pool.The utilization of the data provides for equity holdings, credit cardactivity, and user specified parameters and preferences to be processedfor the purpose of targeting advertisements to consumers. Theillustrative embodiments create a relationship between data setsregarding ownership of stock portfolios, equities, investment holdings,and user associated interests including receipts for baskets of goodsdocumenting the products that consumers buy or items consumers arepotentially shopping for that are owned by the companies representedwithin their portfolios, in order to strengthen and enhance theirinvestments in companies with their current investment portfolios.

Data tracking and segmentation provides for improved real-time andonline advertisements, product recommendations, stock tips, investmentinsights, and shopping recommendations via an ad-targeting network. Theimprovements allow advertisements to be selectively targeted based onconsumer profiles that may include real-time and historical purchasingdata and the real-time and historical stock and equity portfolios. Datafrom multiple primary sources may be leveraged towards the targetedadvertising including stock trading data, stock custody data, andconsumer credit/debit card transaction data.

The advertising network data is processed, and advertisements aredelivered to users/consumers so that they can act in their own bestinterests and purchase products, services, and commodities that are inalignment with their holdings. This technology tool provides investorswho own stock in specific companies a means to support that stockownership by receiving targeted purchase recommendations andadvertisements that allows consumers them to make informed purchasedecisions that facilitate and support the success of each stock heldwithin own individual investor portfolio by purchasing those products.Alternatively, when users buy products outside the products representedin their portfolios, the user may receive data and advertisements frombrokers to buy or switch to the stocks associated to those products.

The illustrative embodiments utilize data records from stocktransactions, equities, credit card transactions, user preferences, andother self-interests to perform targeted advertisements. Different dataclearing houses, groups, or parties may be utilized to process andverify user and consumer data. For example, every stock transactionincluding the stock, shares, amount, type of transaction (e.g., limit,market, short, futures transaction, option, etc.), and other informationis received, processed, and stored.

The illustrative embodiments provide a system, method, platform, andnetwork for encrypting, securing, developing, and managing datavaluations, transactions, and utilization. The data may be accessiblefrom any number of authorized and connected devices. The illustrativeembodiments allow users/consumers, consumer groups, companies,organizations, entities, governments, and other parties worldwide todevelop data strategies and the conversion of any data into amonetizable asset (including a transactable token currency). Forexample, a platform is provided for capturing, identifying, monetizing,converting, utilizing, and improving data.

As referenced herein, data refers to the personal or commercial data,user profiles, web profiles, search profiles, application profiles, andother information applicable to a user, consumer, entity, device,system, or other party. The illustrative embodiments comply with allapplicable data privacy and administration rules, laws, and bestpractices. Any number of mobile devices, computers, machines, servers,arrays, or so forth may be utilized to implement the illustrativeembodiments. A user may tokenize his/her data and convert all applicabledata into an asset that may be controlled, valued, and monetized incommercial transactions. The illustrative embodiments also provide theuser the ability to control data generation and the seamless utilizationof the data. For example, algorithmic processing may determine how andwhen online and digital data is utilized and monetized, the price pointor fair data valuation based on applicable pricing (e.g., demographic,global, location, utilization, etc.) based on going rates, principles ofsupply and demand, market economics, market analysis, machine learning,exchanges, auctions, real-time bidding, artificial intelligence, and soforth. Relevant information regarding data utilization may be acquiredin real-time, based on historical transactions/archives, selling prices,or other applicable information or data that informs the value of a datasale or transaction. The illustrative embodiments allow the end user toselect advertisement preferences that coincide with their stocks/shares,ownerships, interests, holdings, demographics, opinions, behaviors,beliefs, social structure, purchase plans, and real-world desires. Theopportunity for the user to sell the data to the highest bidder providesenhanced choices for managing and utilizing their personal data that arenot allowed by existing systems, such as cookie tracking basedadvertisements.

The illustrative embodiments may receive, process, collect, and sourcedata from any number of traditional data collection methods, such asonline (e.g., websites, mobile applications, user profiles, etc.) andreal-world sources (e.g., location, retail purchases, credit cardpurchases, physical assets, etc.). The illustrative embodiments are aconsiderable improvement over traditional targeting, advertising, andmarketing techniques, processes, and systems. For example, traditionalblind advertisements may be transformed into a precisely targetedadvertisement based on user verified and confirmed data, sources andinformation allowing each individual user to indicate products andservice interests. Data in each user's data profile may be effectivelyutilized. Data, profiles, data sets, data pools, and other compilationsmay be tokenized to better protect, manage, and monetize the varioustypes of data. The illustrative embodiments improve the functionality ofcomputer networks that process information to be monetized.

In one embodiment, tokens may be created that track the data. The tokensmay include information or metadata regarding the data and may point toa location where the data or physical item is stored. The token may beutilized to provide a key, identifier, pointer, indicator, or linkrequired to securely access the data. As a result, the tokens may becreated, communicated, bought, sold, and otherwise monetized through ablockchain system. The tokens may include a pointer that securely pointsto the data being monetized whether for a single user, organization,company, or multiple users. In another embodiment, the tokens themselvesmay include the data that is being monetized or otherwise exchanged.

The illustrative embodiments may be utilized to perform a transactionfor the data. The data may be grouped, associated, and commoditized forany number of trades, exchanges, purchases, donations, or othertransactions. The data may be associated with a platform fortransactions involving the data and associated advertisements. Thetransaction may be performed automatically or based on user input,feedback, instructions, or commands.

One embodiment provides a blockchain based security token system thatgives consumers the ability to control, monetize, and/or donate any orall of the proceeds from the utilization, sale, or sharing of theirprofile and/or data and advertising-based revenue. The illustrativeembodiments curate or collect data in real-time from users based on anopt-in system with clear compensation and renumeration guidelines. Forexample, any number of computing or communications devices, platforms,applications, or so forth may be utilized to capture the data.

The security tokens utilized may represent any number of existing,custom/proprietary, and other tokens. In one embodiment, formatted,structured, or unstructured data may be converted into an encryptedtoken that represents, includes, or references the applicable data. Thesecurity interest in a data asset may be represented in the form of atoken. Data across numerous fields and with different utilizations maybe captured in a token (or tokenized). For example, intelligence,counterintelligence, consumer profiles, consumer/user, private, public,and other types of data may be captured and monetized. For example, theillustrative embodiments may provide a data management system thatallows an asset, such as ownership of a digital profile to be tokenizedas an asset that may be tracked, grown, and expanded through an opt insubmission from multiple sources and monetized digitally through ane-commerce platform.

The security tokens may be issued, regulated, managed, and distributedby a platform to comply with the existing regulatory framework. Theplatform may provide a data monetization process for creating andperforming transactions between buyers and sellers (e.g., similar to astock trading platform). The illustrative embodiments may apply pricingbased on a set price range, guidelines, industry-standard, or marketrate. The data in the form of a token may allow the user to directlycontrol and monetize their data in a transparent and secure blockchainplatform. Consumers may receive security tokens in several ways whenthey sign up to participate in the system/service, when and where theyopt in to include their data in the marketplace and Information DataExchange, and when corporations and/or third parties purchase ormonetized access to their data. For example, the data may be managedwithin a self-directed and mobile computing environment. Theillustrative embodiments allow users to determine how and when theirdata is shared and monetized eliminating guesswork used by search,advertising, and marketing companies to generate user approved anddesired consumer marketing data.

In one embodiment, the asset of data is created by the opt-in submissionof a user's stock/ownership/interest profile, trading profile/account,social network profile(s), website utilization profiles, orgeneric/customized profile, and the associated data. The platform may befurther used to secure all rights to any revenue streams associated withthe data asset (e.g., any sale, sharing, or monetization of the userprofile to a third party, site, or advertiser). By opting into theprogram, the user is providing their profile and perfecting the profileto match their actual daily living and purchases of products. As aresult, the illustrative embodiments put the user in full control of theuse and monetization of their data while avoiding the erroneous orinaccurate use of information and blind ad targeting practices inherentin currently available advertising programs and systems. Theillustrative embodiments take third-party unauthorized or on monetizedused of poor user data and enables an accurate and monetized data streamto be created for the user. The user benefits as do the third partiesthat are using the more accurate data. For example, assets associatedwith the user (e.g., stocks, hedge funds, business entities, charitableorganizations, etc.) may benefit by adding revenue, increasing invalue/valuation, and otherwise benefiting the user.

The illustrative embodiments may enable the user to track utilizationand monetization of their data in a more transparent fashion. As aresult, the user may be able to see and track dividends, revenuesharing, price appreciation, or other forms of digital and real-worldasset monetization. For example, a value-based reward system trackedutilizing blockchain may be implemented. Smart contracts may be utilizedwith blockchain to ensure proper utilization and monetization of thedata for verification purposes. The secured token generation process ofthe user data/profile provides proof of ownership to the user andensures contract conditions are written into the smart contract codewithin the blockchain structure. The blockchain records maintain andtrack the creation, issuance, management, and monetization of each tokenthroughout the lifetime of the user's involvement and ownership of theirdata. In one embodiment, a user may be rewarded with additional tokensfor keeping their data/profile updated as well as keeping the datacurrent through additional participation in surveys, watch a video,verify, a purchase, add studies, product marketing, expanded dataprovisioning, and questionnaires.

The user may be incentivized to provide additional data, such aspictures, audio content, videos, location (e.g., real-time, GPS, beacon,triangulation, delayed for safety, historical, etc.), Internet protocoladdress, purchases, purchase plans, investment, investment interests,identification of friends from each social network, sharing access tothird-party applications, search data, views, likes, shares, comments,and so forth. As a result, the user may specify advertisementpreferences that are associated with their stocks, portfolio, assets,equities, holdings, interests, demographics, opinions, behaviors,beliefs, social structure, purchase plans, and real-world desires. Theuser data that is recorded and stored may reside permanently on theblockchain, but typically only has a one to three-year lifecycle to berelevant. Thus, the user is incentivized to maintain, share, and updatetheir data and associated profiles.

The data profile may be singular to a user or may be expanded to includedeeper insights into a family, group of friends, employees, or otheraffiliated or associated groups. For example, a family circle profilemay include an opt in for parents, children, grandparents, uncles,cousins, neighbors, family friends, and so forth. The data profile maybe shared as a family asset between a partner, spouse, and childrenallowing the family data to be managed and monetized as a single asset.As a result, advertisers and others may get deeper insights intoparticipating users. The illustrative embodiments manage the datacollection, pricing, reconciliation, verification, payments, or soforth. Advertisers may be able to identify consumer data that isrelevant to their campaign in order to provide direct incentives and/ormonetization for users who provide specific advertiser-based insights.For example, a user may select to support a corporate restaurant ofwhich a brother is a part-owner, an online educational institute that afriend works for, or a business that supports charities approved of bythe user.

The illustrative embodiments may also allow user to transfer or donatethe revenue or value generated for a charitable deduction or associatedtax deduction. Each of the described data components is 100% opt in withusers being rewarded for sharing specific data points that are desirableto advertisers or other third parties. For example, users may opt-out ofspecific data points that the do not wish to share with advertisers. Thedata captured by the illustrative embodiments may be consolidated andpurchased by advertisers who provide incentives, rewards, or donationsin exchange for access to users and focus group data used for the miningof advertiser-based user insights, analytics, marketing, andadvertisement targeting.

The illustrative embodiments may also be utilized to create a data indexthat catalogs user profiles, data sets, and data transactions.Advertisers may then select a pricing structure for each type of dataprofile component that is desirable to advertisers thereby creating avirtual market for advertisers to purchase real time user data. Thechanging values of the data may be tracked over time for specific userprofiles, consumer groups, and data pools based on their value toadvertisers. The use of security tokens tied to user profiles creates amarketable asset that gives greater validity to commercial uses ofblockchain technologies and the security token market.

Cryptographic, security, or digital tokens may be exchanged for actualcurrency, preferred stock options, stock warrants, bonds, exchangetraded fund (ETF) shares, initial coin offerings (ICO), gift cards,vouchers, and other forms of compensation. Tokens may be utilized tocommunicate data and compensate users, service providers, aggregators,advertisers/marketers, and other applicable parties. The systems mayalso manage any number of smart contracts between relevant parties, suchas the users/consumers, service providers, network operators, contentproviders, and so forth. The tokens utilized by the illustrativeembodiments may be utilized for any number of purposes includingcompensation, communicating the data, data sets, and data pools, andsecure management of the data. The system may utilize multiple types oftokens (e.g., asset tokens, utility tokens, etc.) that are utilizedtogether within the blockchain. Various smart contracts and/ordecentralized applications may be self-executed to process and managethe various transactions occurring on the blockchain. The illustrativeembodiments including the systems, methods, devices, processes, andcomponents described herein may implement any number of blockchainimplementations.

The blockchain system may utilize crypto-protocols andcrypto-token-protocols. For example, the blockchain system may generatetokens, manage a protocol utilizing a consensus algorithm, and recordthe transactions and other actions in a distributed ledger. The variousprotocols may control who, when, and how the various parties may controland otherwise manage the blockchain through any number of public andprivate permissions.

The illustrative embodiments provide and utilize a platform and theblockchain to tokenize data from real-world assets, consumer assets,personal assets, and corporate assets for the purpose of documentation,validation, valuation, and tokenization for improved connectivity sale,provenance tracking, and monetization of data and real-world assets.

Tokenizing personal, and corporate assets is accomplished by creating,pooling, assessing, and determining the market value of each tokenizedasset via a data refinery and executing the sale or monetization oftokenized assets in the data asset marketplace (i.e., Information DataExchange). The ability to better refine value and monetize personal,digital, and real-world assets presents a new type of investmentopportunity to a broader potential investor base.

This provides increased corporate and consumer data value, and greatlyimproves user ability to better monetize personal data, real world dataassets, and real-world physical assets and provides improved liquiditycompared to other traditional securities. Each individual data point orreal-world digital asset may be valued and tracked through atokenization process that tokenizes and deidentifies each user specificindividualized consumer or corporate data point or real-world asset.These data-points are pieces of information related to a real-worldasset or data based assets which are stored inside blockchain blocks,which enables consumers and corporations to create and participate in adata valuation and data monetization payment processing ecosystem thatutilizes a data refinery and data exchange creating an improvedprivatized data protection platform that improves the ability tofacilitate data and asset monetization features across personal consumerand corporate data assets and real-world data assets and across physicalholdings allowing for improved process for data access, datainteraction, data-valuation, and data monetization on the blockchain.

Tokenization and monetization of core data and underutilized or latentcorporate data, consumer data and real-world physical assets is anunlimited resource for monetization that grows exponentially each year.These untapped or underused data pools and asset pools may be tokenizedfor sale, which may unlock latent consumer and corporate value in anumber of ways including new revenue streams, improved operationalefficiency, enhanced customer experience and deeper customerconnectivity and loyalty. These data pools provide an enhanced consumerexperience through optimized and refined data utilizations, that bynature are inherently more valuable in a data asset marketplace settingand that also through the Information Data Exchange, which provides anenhanced level of data ownership and data protection and control.

With the wide proliferation of the internet, smart phone and devices,digital data is captured in a wide range of corporate and humanactivities in countless methodologies and formats. The illustrativeembodiments better refine and value tokenized assets. The platform ispaired with the blockchain to connect consumers, brands, advertisers,retail, corporations and provides improved incentives for participationin a blockchain based real-world and data asset valuation, data pooling,validation, and tokenization process.

FIG. 1 is a pictorial representation of a system 100 for managing userinformation in accordance with an illustrative embodiment. In oneembodiment, the system 100 of FIG. 1 may include any number of devices101, networks, components, software, hardware, and so forth. In oneexample, the system 100 may include a smart phone 102, a tablet 104displaying graphical user interface 105, a laptop 106 (altogetherdevices 101), a network 110, a network 112, a cloud system 114, servers116, databases 118, a data platform 120 including at least a logicengine 122, a memory 124, data 126, tokens 127, and transactions 128.The cloud system 114 may further communicate with sources 131 andthird-party resources 130. The various devices, systems, platforms,and/or components may work alone or in combination.

Each of the devices, systems, and equipment of the system 100 mayinclude any number of computing and telecommunications components,devices or elements which may include processors, memories, caches,busses, motherboards, chips, traces, wires, pins, circuits, ports,interfaces, cards, converters, adapters, connections, transceivers,displays, antennas, operating systems, kernels, modules, scripts,firmware, sets of instructions, and other similar components andsoftware that are not described herein for purposes of simplicity.

In one embodiment, the system 100 may be utilized by any number ofusers, organizations, or providers to aggregate, manage, review,analyze, process, distribute, advertise, market, display, and/ormonetize data 126. The data may include personal data, commercial data,data sets, data pools, and other forms of data. For example, the data126 may be utilized in marketing or advertisements for goods or servicesassociated with the user (as well as family and friends as allowed orspecified). In one embodiment, the goods and services represent anynumber of items, content, products, or services sold by a business,entity, organization, or entity. In one embodiment, the system 100 mayutilize any number of secure identifiers (e.g., passwords, pin numbers,certificates, etc.), secure channels, connections, or links, virtualprivate networks, biometrics, or so forth to upload, manage, and securethe data 126, generate tokens, and perform applicable transactions. Asnoted, the system 100 may be a blockchain system that utilizes a digitalledger to track tokens 127, transactions 128 involving the data 126 andadvertisements 129. For example, the digital ledger may store the data126, tokens 127, transactions 128, and advertisements 129 along withtheir details, information, and data. The devices 101 are representativeof multiple devices that may be utilized by businesses or consumers,including, but not limited to the devices 101 shown in FIG. 1 . Thedevices 101 utilize any number of applications, browsers, gateways,bridges, or interfaces to communicate with the cloud system 114,platform 120, and/or associated components. The devices 101 may includeany number of Internet of Things (IoT) devices.

The data 126 may include a number of different data types. The data 126may include demographic data, consumer data, family and health data,property data, ownership data, purchase data, behavioral data, interestsand activity data, and other applicable types of data. The data 126 oradvertisements 129 may store the good, services, and products that theuser is interested in. The user may represent individuals, families,groups, entities, businesses, aggregations, or other parties.

Demographic data may be a combination of static and influx data pointsthat include age, gender, occupation, marital status,education/education level, income level, religion, birthday, familysize, ancestry, and so forth. Demographic data, although mostly static,is commonly quite important to marketers and other interested parties.Consumer data may include websites visited, purchase plans, purchases,brand affinity, cars, clothes, travel, and other information applicableto users, clients, customers, groups, or so forth. The family and healthdata may include permanent or long-lasting data elements which may behelpful for predicting future purchases and include information relatedto family, health, and medical conditions, such as childcare, diapers,diabetes, incontinence, rental information, and so forth. The family andhealth data have a large potential for cross marketing of data. Propertydata may include information regarding ownership, rentals/renters,address, for sale, square footage, occupants, past occupants pool, andvehicle ownership. In one embodiment, data related to vehicles, such asownership, title, gas mileage, emissions, tire readout, recalls, and soforth may be tokenized for alerts and consumer data monetization via theplatform. This data may be treated and value as static data (even thoughchanges are likely and expected). The interests and activity data mayinclude data regarding hobbies, general interests, product and brandpreferences, and other applicable influx data. Political affiliationdata may be a matter of public record in many states as the user selfidentifies. The data may be static, or perennial based on the user'svoting record. The user may choose to self-identify political and votinginformation and voting plans or may keep that private. In one embodimentthe platform may be used to create an opinion economy, wheregovernments, cities, companies, advertisers, brands, or any datasolicitor may obtain real time information and data from deidentifiedusers allowing users and government, advertisers, and outreach providersto connect and exchange currency or value for providing data solicitorswith a direct connection to improved consumer data.

The wireless device 102, tablet 104, and laptop 106 are examples ofcommon devices 101 that may be utilized to capture, receive, and managedata 126, perform transactions 128, and communicate advertisements 129.For example, the various devices may capture data relevant to the userthat is subsequently monetized for the benefit of the user (e.g.,location, purchases, behavior, web activity, application use, digitalpurchases, etc.). Other examples of devices 101 may include e-readers,cameras, video cameras, electronic tags, audio systems, gaming devices,vehicle systems, kiosks, point of sale systems, televisions, smartdisplays, monitors, entertainment devices, medical devices, virtualreality/augmented reality systems, or so forth. The devices 101 maycommunicate wirelessly or through any number of fixed/hardwiredconnections, networks, signals, protocols, formats, or so forth. In oneembodiment, the smart phone 102 is a cell phone that communicates withthe network 110 through a 5G connection. The laptop 106 may communicatewith the network 112 through an Ethernet, Wi-Fi connection, cellular, orother wired or wireless connection.

The data 126 may be collected and sourced from any number of online andreal-world sources including, but not limited to, clearinghouses (e.g.,stocks, credit card transactions, etc.), data clearinghouses, websitetraffic and cookie-based analytics, social media, application data,point of sale, purchase, and transaction history, loyalty programs andcoupons, payment services, location-based email list for mailers,surveys and questionnaires, and other applicable sources. The data 126may be captured based on the permissions, authorization, andconfirmation of the user. For example, the data 126 may include stocktrading data, stock custody data, and consumer credit/debit cardtransaction data. The data 126 may also store information regarding auser's purchases (e.g., past, present, future, likely, etc.), interests(e.g., personal, commercial, etc.), business/business needs, and otherapplicable information. The data 126 may also store informationregarding the family, friends, and associates of the user if authorizedor requested by the user. As a result, the user may be able to supportbusinesses and groups associated with friends and family as well byreceiving targeted advertisements and potentially purchasinggoods/services based on those advertisements.

These same data collection sources may be utilized to perform analysisof the data 126. In one embodiment, the data 126 may be captured throughregistered account information, programs/applications, website traffic,and tracking cookie-based analytics. For example, information, such astime spent on each site, page views, clicks, conversions, relevantcontent, trends, and other information may be recorded as part of thedata 126. The data 126 may also include digital or online transactionsperformed through services, such as PayPal®, Venmo®, Zelle®, Google®,Square®, WePay®, Skrill®, Payza®, Stripe®, Dwolla®, Amazon Pay,2Checkout®, and other similar services.

The data 126 may be captured through social media and applications.Social media data may be utilized to provide real-time polls, surveys,questionnaires, likes and dislikes, feedback, preferences for mediacontent, site traffic, interests, and numerous other consumer data. Anynumber of mobile, computing, personal assistant (e.g., Siri, Alexa,Cortana, Google, etc.), or other applications may be utilized. Socialmedia data may be utilized as definitive or anecdotal data.

The data 126 may also be captured through point of sale (POS)transactions, card transactions, in-person purchase, digital purchases,and purchase history. In one embodiment, a credit card clearing housemay be utilized to capture the data. Customers, consumers, and clientsmay be comfortable with sharing the specific data points associated withpoint-of-sale transactions or basket of good analysis due to establishedpractices. The point-of-sale transactions may include extensive data,including, but not limited to, name, address, item/service, price,credit card type, purchase location, date, brand preference, brandcategory, product affinity, spending levels, order history, inventory,restock data, purchase demographics, and so forth. Point-of-sale andtransaction history data may have static, perennial, and influx datapoints with the value of each data point being tracked and measuredwithin the data marketplace using the data valuation index, and datacalculator that further informs the Information Data Exchange and thedata derivatives marketplace.

The data 126 may also include location-based information andcommunications. An example of static and perennial data points that maybe collected include a standard web form, email request form, wirelesstriangulation, routers/towers/access points reached, proximity beacons,and so forth. The location-based communications may capture data, suchas email, consumer/business addresses, phone numbers, and so forth.

The data 126 may also include surveys and questionnaires. Responses tosurveys and questionnaires may be one of the best ways to gather andinform information regarding the user's demographics, interests, andpreferences that may not be able to be determined in other ways due toprivacy, entity names, applicable laws, and so forth. The ability togather real-world consumer insights may help complete or round out auser profile. The surveys and questionnaires may be performed digitally(e.g., websites, extensions, programs, applications, browsers, texting,or manually (e.g., audibly, on paper, etc.). Responses to surveys andquestionnaires may help achieve saturation of datapoints for userprofiles.

The cloud system 114 may aggregate, manage, analyze, and process data126 and tokens across the Internet and any number of networks, sources131, and third-party resources 130. For example, the networks 110, 112,may represent any number of public, private, virtual, specialty (e.g.,trading, financial, cryptocurrency, etc.), or other network types orconfigurations. The different components of the system 100, includingthe devices 101 may be configured to communicate using wirelesscommunications, such as Bluetooth®, Wi-Fi®, or so forth. Alternatively,the devices 101 may communicate utilizing satellite connections, Wi-Fi,3G, 4G, 5G, LTE, personal communications systems, DMA wireless networks,and/or hardwired connections, such as fiber optics, T1, cable, DSL, highspeed trunks, powerline communications, and telephone lines. Any numberof communications architectures including client-server, network rings,peer-to-peer, n-tier, application server, mesh networks, fog networks,or other distributed or network system architectures may be utilized.The networks, 110, 112, and cloud system 114 of the system 100 mayrepresent a single communication service provider or multiplecommunications services providers.

The sources 131 may represent any number of clearing houses, webservers, service providers (e.g., trading platforms, credit cardcompanies, transaction processors, etc.), distribution services (e.g.,text, email, video, etc.), media servers, platforms, distributiondevices, or so forth. In one embodiment, the sources 131 may representthe businesses that purchase, license, or utilize the data 126, such asadvertising or marketing goods and services utilizing the system 100. Inone embodiment, the cloud system 114 (or alternatively the cloudnetwork) including the data platform 120 is specially configured toperform the illustrative embodiments and may be referred to as a systemor platform.

The cloud system 114 or network represents a cloud computing environmentand network utilized to aggregate, process, manage, generate, sell,monetize, and distribute data 126 and advertisements 129 whilesupporting the transactions 128 and utilization. The cloud system 114may implement a blockchain system for managing the data 126,transactions 128, and advertisements 129. For example, any number ofblockchain tokens may be utilized to manage the data and ensure propercompensation of the user. The cloud system 114 allows data 126,transactions 128, and advertisements 129 from multiple businesses,users, managers, or service providers to be centralized. In addition,the cloud system 114 may remotely manage configuration, software, andcomputation resources for the devices of the system 100, such as devices101. The cloud system 114 may prevent unauthorized access to data 126,tools, and resources stored in the servers 116, databases 118, and anynumber of associated secured connections, virtual resources, modules,applications, components, devices, or so forth. In addition, a user maymore quickly upload, aggregate, process, manage, view, and distributedata 126 (e.g., profiles, updates, surveys, content, etc.), transactions128, and advertisements 129 where authorized, utilizing the cloudresources of the cloud system 114 and data platform 120.

The cloud system 114 allows the overall system 100 to be scalable forquickly adding and removing users, businesses, authorized sellers,interest-based information, transaction-based information, analysismodules, distributors, valuation logic, algorithms, moderators,programs, scripts, filters, transaction processes, distributionpartners, or other users, devices, processes, or resources.Communications with the cloud system 114 may utilize encryption, securedtokens, secure tunnels, handshakes, secure identifiers (e.g., passwords,pins, keys, scripts, biometrics, etc.), firewalls, digital ledgers,specialized software modules, or other data security systems andmethodologies as are known in the art.

Although not shown, the cloud system 114 may include any number of loadbalancers. The load balancer is one or more devices configured todistribute the workload of processing the uploaded data 126 as well asapplicable transactions to optimize resource utilization, throughput,and minimize response time and overload. For example, the load balancermay represent a multilayer switch, database load balancer, or a domainname system server. The load balancer may facilitate communications andfunctionality (e.g., database queries, read requests, write requests,command communications, stream processing, etc.) between the devices 101and the cloud system 114. For example, the cloud system 114 may offloadverification of users that seek to be added to the system 100 along withapplicable data 126 and information. Load balancing may be performedbetween automatic systems and devices as well as individual users. Otherintelligent network devices may also be utilized within the cloud system114.

The servers 116 and databases 118 may represent a portion of the dataplatform 120. In one embodiment, the servers 116 may include a webserver 117 utilized to provide a website, mobile applications, and userinterface (e.g., user interface 107) for interfacing with numeroususers. Information received by the web server 117 may be managed by thedata platform 120 managing the servers 116 and associated databases 118.For example, the web server 117 may communicate with the database 118 torespond to read and write requests. For example, the servers 116 mayinclude one or more servers dedicated to implementing and recordingblockchain transactions and communications involving the data 126,transactions 128, and advertisements 129. For example, the databases 118may store a digital ledger for updating information relating to theuser's data 126 and transactions 128 as well as utilization of the data126 and transactions 128 to generate and communicate the advertisements129. For example, the user's data 126 may be packaged in digital tokensthat may be securely communicated to any number of relevant parties.

The databases 118 may utilize any number of database architectures anddatabase management systems (DBMS) as are known in the art. Thedatabases 118 may store the content associated with eachuser/consumer/purchaser which may specify an address, name, age,demographics, interests, family/friend information, biometricidentifiers, payment information, permissions, settings, location, causepreferences, cause restrictions, and so forth. Any number of secureidentifiers, such as inaudible tones, QR codes, serial numbers, or soforth may be utilized to ensure that content, personal, or transactioninformation is not improperly shared or accessed. The databases 118 mayinclude all or portions of a digital ledger applicable to one or moreblockchain transactions including token generation, management,exchange, and monetization.

The user interface 105 may be made available through the various devices101 of the system 100. In one embodiment, the user interface 105represents a graphical user interface, audio interface, or otherinterface that may be utilized to manage data, transactions, and otherinformation. For example, the user may enter or update associated datautilizing the user interface 105 (e.g., browser or application on amobile device). The user interface 105 may be presented based onexecution of one or more applications, browsers, kernels, modules,scripts, operating systems, or specialized software that is executed byone of the respective devices 101.

The user interface 105 may display current and historical data as wellas trends. The user interface 105 may be utilized to set the userpreferences, parameters, and configurations of the devices 101 as wellas upload and manage the data, content, and implementation preferencessent to the cloud system 114. The user interface 105 may also beutilized to communicate the advertisements 129 to the user. The devices101 (e.g., displays, indicators/LEDs, speakers, vibration/tactilecomponents, etc.) may present, play, display, or otherwise communicatethe advertisements 129 visually, audibly, tactilely, or any combinationthereof.

In one embodiment, the system 100 or the cloud system 114 may alsoinclude the data platform 120 which is one or more devices utilized toenable, initiate, generate, aggregate, analyze, process, and manage data126, transactions 128, advertisements 129, and so forth with one or morecommunications or computing devices. The data platform 120 may includeone or more devices networked to manage the cloud network and system114. For example, the data platform 120 may include any number ofservers, routers, switches, or advanced intelligent network devices. Thedata platform 120 may represent one or more web servers that perform theprocesses and methods herein described. The cloud system 114 may manageblockchain management of the data 126 utilizing blockchain technologies,such as tokens, digital ledgers, hash keys, instructions, and so forth.

In one embodiment, the logic engine 122 is the logic that controlsvarious algorithms, programs, hardware, and software that interact toreceive, aggregate, analyze, rank, process, score, communicate, anddistribute data, content, transactions, alerts, reports, messages, or soforth. The logic engine 122 may utilize any number of thresholds,parameters, criteria, algorithms, instructions, or feedback to interactwith users and interested parties and to perform other automatedprocesses. In one embodiment, the logic engine 122 may represent aprocessor. The processor is circuitry or logic enabled to controlexecution of a program, application, operating system, macro, kernel, orother set of instructions. The processor may be one or moremicroprocessors, digital signal processors, application-specificintegrated circuits (ASIC), central processing units, or other devicessuitable for controlling an electronic device including one or morehardware and software elements, executing software, instructions,programs, and applications, converting and processing signals andinformation, and performing other related tasks. The processor may be asingle chip or integrated with other computing or communicationselements.

The memory 124 is a hardware element, device, or recording mediaconfigured to store data for subsequent retrieval or access at a latertime. The memory 124 may be static or dynamic memory. The memory 124 mayinclude a hard disk, random access memory, cache, removable media drive,mass storage, or configuration suitable as storage for data 126,transactions 128, instructions, and information. In one embodiment, thememory 124 and logic engine 122 may be integrated. The memory 124 mayuse any type of volatile or non-volatile storage techniques and mediums.In one embodiment, the memory 124 may store a digital ledger and tokensfor implementing a blockchain processes.

In one embodiment, the cloud system 114 or the data platform 120 maycoordinate the methods and processes described herein as well assoftware synchronization, communication, and processes. The third-partyresources 130 may represent any number of human or electronic resourcesutilized by the cloud system 114 including, but not limited to,businesses, entities, organizations, individuals, government databases,private databases, web servers, research services, and so forth. Forexample, the third-party resources 130 may represent advertisementagencies, marketers, e-commerce companies, verification services, creditmonitoring services, blockchain services, payment providers/services,and others that pay for rights to use the data 126, track or provideinformation regarding the transactions 128, and create or monitorutilization of the advertisements 129.

In one embodiment, the data platform 120 may implement a blockchainledger, manager, or technology. In another embodiment, the blockchainledger may be accessible through sources 131. Any number of existing,developing, or future blockchain technologies, companies, or providersmay be utilized (e.g., Aeternity, Ethereum, Bitcoin, Dfinity,ContentKid, Blockphase, Chain of Things, Flowchain, Decissio, Cognate,SkyHive, Safe, SALT Lending, Gemini, Circle, Coinbase, Chronicled, IBM,Voatz, Steem, Shipchain, etc.).

The blockchain is utilized as a way to store and communicate the data126, transactions 128, and advertisements 129. The blockchain mayutilized one or more distinct ledgers for different entities, servicesproviders, types of data, users, or so forth. For example, each new userwith data received by the data platform 120 is assigned a token or othersecure identifier. In one embodiment, the digital tokens may be managedutilizing a key that allows the user or controlling party to access theledger. In one example, the tokens may be controlled by the user orcontrol may be reassigned. The blockchain may cross-reference updates tothe data 126 with the original record for the data platform 120 toensure proper maintenance, control, licensing, management, andtransactions. In one example, different licensing tiers, pricingalgorithms, license verification, cause information, and payments arecombined to create a unique platform. The illustrative embodimentsprovide a system 100, cloud system 114, and data platform 120 for usinguser data, specifically stocks, equities, ownership, holdings, andinterests, to generate selective or targeted advertising. Theillustrative embodiments are performed based on the user's request,authorization, or approval to apply with all applicable laws.

The blockchain may also utilize any number of payment systems (e.g.,PayPal®, Venmo®, Dwolla®, Square®, wire transfers, credit cards,Quicken®, etc.) to receive money and distribute payments to theapplicable party. In one embodiment, the data platform 120 may receive asmall fee or percentage per transaction, data uploaded/updated, datapurchased, shared, or licensed, purchased item, browsing session, or soforth. In one embodiment, the data platform 120 may be utilized toverify users and advertisers (as well as other users/entities thatutilize the data platform 120) and associated data 126 and transactions128 associated with the data 126.

The third-party resources 130 may represent any number of electronic orother resources that may be accessed to perform the processes hereindescribed. For example, the third-party resources 130 may representgovernment, private, and charitable servers, databases, websites,programs, services, and so forth for verifying the data 126,transactions 128, and the advertisements 129. In another example,auditors may verify the advertisements 129 are actually generated basedon the data 126 including the transactions 128.

Various data and venue owners that access the data platform 120 maylegally extract and tokenize the data 126, transactions 128, andadvertisements for use in the exchange provided by the system 100 byidentifying and tracking data utilizing automatic data extraction tools.Any number of privacy and data policies may be implemented to ensurethat applicable local, State, Federal, and international laws,standards, and practices are procedures are met.

In one embodiment, a user or consumer group represented by a user of thedevices 101 or the sources 131 may elect and receive permission tocollect observational data collected from secure and authorized systemsto achieve access to partial or complete data from the sources 131(e.g., professional drivers, human resources, prison records, propertyvalues, property square footage, real estate sales, retail sales, retailprices, purchase data, stock ownership, commerce, waste stream data,etc.).

The logic engine 122 may also perform valuation of the data 126 andadvertisements as is taught by U.S. provisional patent application62/755,815 entitled “Method and System for Data Valuation and SecureCommercial Monetization Platform” and filed Nov. 5, 2018 andcorresponding PCT/US19/59920 filed Nov. 5, 2019 and as is taught by U.S.provisional patent application 62/826,457 entitled “Method and Systemfor Data Futures Platform” filed Mar. 29, 2019 and correspondingPCT/US20/25495 filed Mar. 27, 2020 which are hereby incorporated byreference in their entirety. The illustrative embodiments may alsosupport third-party utilization of the data 126 and transactions 128 togenerate the advertisements 129. Various authorization, auditing, andvalidation processes may be performed by auditing groups, commissions,industry groups, or other professionals/entities. The variousembodiments may also allow a user to donate the value of their data 126and transactions 128 and consumption of advertisements 129.

In one embodiment, the logic engine 122 may utilize artificialintelligence. The artificial intelligence may be utilized to enhancedata 126, analyze transactions 128, and generate advertisements 129 toincrease value, utilization, effectiveness, and profits. For example,artificial intelligence may be utilized to review, authenticate, andvalidate data and transactions that are received by the system 100. Theartificial intelligence of the logic engine 122 may be utilized toensure that the data 126 is improved, accurately analyzed, and valueincreased. For example, it is expected that data and the associatedtokens that are validated utilizing artificial intelligence may be givena premium value by advertisers.

In another embodiment, the devices 101 may include any number ofsensors, appliances, and devices that utilize real time measurements anddata collection to update the data 126. For example, a sensor network,wearables (e.g., watches, bands, implantable devices, etc.) and Internetof things (IOT) devices may gather user and behavioral data. The dataplatform 120 may also work in conjunction with hands-free data miningand measurement tools that tracks location, activity, and video-basedmarketing data (e.g., from GPS location, video from storefronts, beacondetection, proximity alerts, etc.) from any number of third-partysources. The user may be tracked through any number of environments,locations, and conditions. The advertisements 129 may also be generatedbased on the activities, actions, and location of the user.

In one embodiment, the data platform 120 may extract data fromthird-party platforms by opting in and providing user credentials tovarious applications (e.g., Charles Schwab, TD Ameritrade, E*Trade,Vanguard, Fidelity, Merrill Lynch, etc.) the data platform 120 mayextract data from the sources 131.

FIG. 2 further illustrates portions of the system 100 of FIG. 1 inaccordance with an illustrative embodiment. As shown the sellers 150A-E(jointly sellers 150) may represent the sources 131 of FIG. 1 . Thesellers 150 may represent any number of exchanges, platforms,clearinghouses. advertisers, marketers, businesses, retailers, serviceproviders, individuals, organizations, entities, or so forth referred toas sellers 150 or businesses for purposes of simplicity. The consumers152A, 152B (jointly consumers 152) represent any number of users,consumers, groups, or individuals that have data 154 (also includingtransactions) that is utilized to allow targeted advertisements 155 tothat they are willing to allow the sellers 150 to access through thedata platform 120. In one embodiment, the data platform 120 mayrepresent all or portions of the system 100 of FIG. 1 (including thecloud system 114, servers 116, and databases 118).

The consumers 152 may actively or passively upload data 154 to the dataplatform 120. The data platform 120 may also receive amended, updated,or add additional data 154 for the consumers 152 at any time asdescribed herein. The consumers 152 may have an agreement (e.g.,contract, terms of services, permissions, authorizations, etc.) for theutilization of the data 154 by the sellers 150 or other interestedparties to generate the targeted advertisements 155. The agreement orcontract may specify how, when, and what portions of the data 154 may beused as well as the associated compensation terms. The agreement mayspecify that the data 154 may be processed, analyzed, purchased,licensed, rented, leased, or otherwise managed by the data platform 120for the mutual benefit of the consumers 152 and the sellers 150. Forexample, the consumer 152B may elect to receive targeted advertisements155 to support the companies, organizations, entities, or other groupsin which the consumer 152B has stock, ownership shares, interests,holdings, or a vested interest. The consumer 152B may be interested inthe targeted advertisements 155 to support herself or to support familyand friends. In another example, the consumer 152B may elect to licenseuse of their data 154 such that they are compensated utilizing a digitalcurrency (or hard currency) for each access of or utilization of theirdata 154 by the sellers 150.

The data platform 120 may process raw consumer data to generate thetargeted advertisements 155. The targeted advertisements 155 may bedesirable to the user because the targeted advertisements 155 supportthe companies, stock, holdings, ownership, or interests of the user. Inone embodiment, a term or logo utilized with each of the advertisementsmay indicate that the targeted advertisements are for the benefit of theuser. In one embodiment, the targeted advertisement 155 may even includethe stock ticker, name of the company, user's name, key word,identifier, certification, or so forth indicating that the targetedadvertisement has gone through the analysis, authorization, and vettingprocess herein described.

The data platform 120 performs valuation of the data 154 and targetedadvertisements 155 based on information from any number of sourcesincluding current rates, contracts, indices, exchanges, and otherapplicable information. For example, current targeted advertisementrates may be utilized to value the data. The tokens paid to theconsumers 152 in exchange for the data 154 may vary based on the volume,quantity, verification, and types of information included in the data154. The data platform 120 normalizes data monetization for theconsumers 152 and sellers 150. Compensation performed by the dataplatform 120 may be performed utilizing digital currencies or hardcurrencies. In one embodiment, blockchain-based currencies may beutilized to compensate the consumers 152. Full tokens or partial tokensmay be utilized to represent the values most accurately being exchanged.There may be a predefined number of tokens available thereby allowingearly adopters of the system 100 to earn more over time. For example, inresponse to the consumer 152A selling or granting access to the data 154to the data platform 120 or the seller 150B, the consumer may becompensated with tokens (e.g., Bitcoin, Ethereum, proprietary tokens,etc.). All or portions of the data 154 may be involved in a transaction.For example, in addition to stock, ownership, equities, and interest,the data 154 may include numerous components relating to all aspects ofthe life, work, hobbies, entertainment, studies, politics, health,family, consumer habits, for the consumer 152B. Not all of the sellers150 may sell products, goods, or services that correspond to the stocks,holdings, and interests of the consumers 150. The seller 150D may onlylicense rights to temporarily (e.g., for a single session, activity,timer period—day, week, year, or custom amount) access the consumerhabits of the consumer 152B existing and updated in real-time. Theexchange for the tokens may include a pointer to a secure storage orvault accessed through the data platform 120. The pointer may be anencryption key, access information, unique identifier, or other securityinformation for accessing the data 154 associated with the user. Inanother embodiment, security tokens used for the blockchain may also beembedded with the data 154. The tokens granted through the data platform120 may vary in value, may be fixed, or may act similar to othermonetary instruments (e.g., stocks, bonds, certificates of deposit,etc.) for a specified original value of the data 154.

The data platform 120, sellers 150, or consumers 152 may keep andmaintain digital ledgers that track the transactions within the system100 to verify and authenticate the data 154, advertisements 155, andassociated transactions. The sellers 150 may utilize the data 154 toadvertise, sell, or market goods, services, products, perform marketresearch, generate analytics, and otherwise generate and communicate theadvertisements 155 and communicate the advertisements 155 to theconsumers 152. As previously noted, the data platform 120 may alsorepresent one or more processing, analysis, blockchain, or distributioncenters, systems, devices, facilities, or so forth. The sellers 150 andconsumers 152 may represent any number of individuals or groups (e.g.,hundreds, thousands, millions, etc.).

As noted, the sellers 150 may send or distribute goods and servicesassociated with the advertisements 155 through the cloud system ordirectly to the consumers 152. In one embodiment, the seller 150B maydistribute goods and services to the consumer 152A through the dataplatform 120. The data platform 120 may perform distribution of the data154, targeted advertisements 155, and/or goods and services. Forexample, the data platform 120 may include any number of physicalstorages, digital storage, warehousing, and distribution systems,facilities, professionals, employees, contractors, electronics, and soforth.

The data platform 120 is unique in the way that data is tracked andutilized. Existing systems do not allow a user to control how and whentheir data is utilized. Most users are unable to monetize their data asit is utilized by search companies, social media companies, onlineretailers, and others. The platform and implemented methods provide aunique and transparent manner to track data of a user and utilize thedata. The interactions between consumers 152 and the sellers 150 throughthe data platform 120 is unique and mutually beneficial. Theillustrative embodiments provide the system for better tracking data(e.g., data packets, files, content, etc.) that may be subsequentlyutilized to update advertisements and marketing that is presented to theconsumers 152 by the sellers 150 (or other parties).

The system 100 and data platform 120 may be a unique portion of ablockchain system that enables for user data to be securely accessedthrough tokens that may be created, modified, vended, and otherwisetransacted.

FIG. 3 is a flowchart of a process for vending data in accordance withan illustrative embodiment. The process of FIGS. 3-7 may be performed bya platform, device, server, or other equipment in accordance withillustrative embodiments (see for example the devices, servers, systems,and equipment of FIG. 1 ). All or portions of the steps or processes ofFIGS. 3-7 may be performed automatically (without user interaction). Theprocess of FIG. 3 may be implemented by a system or platform, such asthe system 100, data platform 120, or devices 101 of FIG. 1 referred togenerically herein as the platform. The steps of FIGS. 3-7 as well asthe systems, devices, and components of FIGS. 1, 2, 8, and 9 may becombined in any order, integrated, or otherwise combined as useful.

The process of FIG. 3 may begin by installing an application programinterface for data on a data management platform (step 300). Theapplication program interface (API) may be installed or integrated withany number of platforms, programs, or so forth, such as a datamanagement platform. The API may also be any number of softwareprograms, scripts, modules, sets of instructions, or so forth. In oneembodiment, the API is integrated with a web browser as an add-in,extension, application, or other interface. For example, the API may beintegrated with a search tool (e.g., standalone, browser-based, networkmanaged, etc.). The API may be utilized by individuals, corporations,data exchange companies to enhance their data protection and datamanagement and monetization strategy. The API may also be installed onother electronics devices, such as personal computers, tablets, mobiledevices (e.g., smart phones, tablets, etc.), gaming devices, streamingdevices, virtual reality/augmented reality devices, and so forth. Theillustrative embodiments are an improvement over existing technologiesbecause they provide user control of personal and online data for thepurpose of monetization by the data owners.

Next, the system receives a user profile (step 302). The user profilemay represent an individual, family, group of individuals (e.g.,friends, clubs, associates, etc.), company, organization, or entity andmay be referred to generally as a “user profile” or “data profile.” Forexample, a user profile may be created for a user. The data profile mayalso include user preferences, settings, parameters, and otherapplicable information that control what, when, and how data may becollected, shared, and monetized. The user profile may be generated ordetermined from already available information for the user. For example,the user profile may represent one or more profiles compiled by devices,accounts, services, or so forth. The user may provide answers utilizingone or more surveys, fields, questions, or other applicable informationand data to determine applicable information and data. The user profilemay also represent the other profiles herein described.

Next, the system processes the data from numerous users (step 304). Inone embodiment, the numerous users may be associated with the other userthrough familial relationships, friendship, organizations, businessentities, or other associations. The user and numerous users may bebound by law/regulation, agreements, consent, or so forth. The data maybe processed by adding, confirming, modifying, reconfirming, andauthorizing data according to the user profile. In one embodiment, rawdata may be converted into data objects. For example, user purchases maybe created to specify that the user has children 10, 12, and 16 withinterests in specified sports, gaming, mobile devices, and camping. Theillustrative embodiments may utilize artificial intelligence or machinelearning to perform processing and segmentation of the data during thedata collection process. The data may be raw, partially processed,structured, or unstructured as utilized and monetized. The data hereindescribed may be transformed from raw data into data objects, sets, andprofiles tied to real world and digital assets.

In one embodiment, during step 304, the data may be associated with aunique security token that points to or includes the data. The data mayinclude new, added, modified, or updated user data or profile objects,such as consumer interest, sharing of personal plans, likes anddislikes, opinions, social media feeds, purchases, preferred retailers,products and services of interest, and other similar information.

Next, the system vends the data (step 306). The tokens may grant accessto the data. Full or partial tokens may be included in transactions. Thetokens may be involved in transactions by advertisers, brands,corporations, and any entity who values or requires access to data toenhance their brand reached. Tokens may be passed from these parties toconsumers/users in exchange for access to their data. The tokens may bedistributed each time a user associated with a data object participatesin sharing, updating, exchanging, or selling the data. The illustrativeembodiments provide the ability to band multiple variable priced microfractions of tokens for each single or new data point/object. Theplatform may also band a single higher value token to represent andmonetize a large exchange of data (e.g., objects, sets, profiles,pool(s), etc.).

Next, the system provides payment for utilization of the data (step308). The system may track the fluctuating value of the data points,sets, and pools (all referred to as “data”). The system may ensure thatusers receive optimal compensation and monetization of their data. Usermay be paid in hard currency (e.g., American Dollars, British Pounds,Mexican Pesos, etc.), digital currency, discounts, services, rebates, orso forth. The purchasers of the tokens/and associated data may offerusers micro fractions of a tokens market value in exchange for access toadvertiser desired data profile elements. The described systems andmethods allow data to be monetized even if not fully utilized by theuser (e.g., company, individual, entity, etc.). As a result, the usermay be able to create new or enhanced revenue streams from latent datathat may be collected as a byproduct of their business. The illustrativeembodiments may provide a method of utilizing data that satisfies user,legal/privacy, and industry standards as well as securing the dataagainst unwanted access or intrusions.

FIG. 4 is a flowchart of a process for storing data in accordance withan illustrative embodiment. The process of FIG. 4 may begin by adding,confirming, modifying, and authorizing the data (step 400). At any time,different data objects may be added. The data may be added as individualelements, sets, profiles, and pools. The platform may be added,confirmed, modified, and authorized as structured or unstructured data.

Next, the system creates a token for each unique data set (step 402).The tokens may point to a single data object/element, data sets, dataprofiles, or data pools. The illustrative embodiments allow for thetokenization of a real-world or digital asset for the purpose ofimplementing micro-fraction ownership of the corresponding asset. Thetokens may then be involved in any number of transactions involvingnumerous parties.

Next, the system stores the data in a secure and encrypted hash on ablockchain (step 404). In one embodiment, an encrypted hash on theblockchain may be utilized to store the data (e.g., data objects, datasets, data pools, etc.). Although reference is made to utilizing ablockchain system, the illustrative embodiments may also utilize othersecure storage techniques, such as encrypted databases, secured servers,and so forth. The hash may link to the data that is stored in a securelocation.

FIG. 5 is a flowchart of a process for monetizing data in accordancewith an illustrative embodiment. The process of FIG. 5 may begin bycreating a smart contract controlling utilization of the data (step500). The smart contract may be created based on the requirements of theuser and potential purchasers (e.g., advertisers, corporations, etc.).The smart contract governs how the user is compensated for transactionsinvolving the data. The smart contract may also specify the rightsgranted to a token holder. The legal rights, permissions, binding terms,and other information may be specified by the smart contract. In oneembodiment, the smart contract controls how the data is utilized andmonetized. The price of the data may be governed by free marketvaluations. Alternatively, the smart contract may set price maximums andminimums. In one embodiment, the smart contract may allow for thegeographic utilization of the data. For example, the data may be ofvalue for location-based targeting to interested parties (e.g.,neighborhood, region, city, state, etc.). User preferences set by theuser may set permissions, settings, limitations, thresholds, andrequirements implemented as part of the smart contract.

Next, the system performs a transaction for all or portions of a token(step 502). The platform may include or represent an exchange. As noted,full tokens or partial tokens of any size may be involved intransactions. For example, fractional or micro share of the tokens maybe involved in the transactions. The purchase or exchange of tokens mayprovide a party access to the data associated with the token.Transactions may be performed through the system that measures andvalues the tokens, data, and other transaction components in real-time.The transaction may include any number of markets, limit, stop, short,option, or futures transactions or orders. For example, the transactionmay be performed based on a price that is predetermined or determined inreal-time or determined at the time of transaction of the data from theseller to purchaser.

Next, the system documents the transaction on the blockchain (step 504).In one embodiment, the transaction may be recorded on the ledgerassociated with the blockchain. The transaction may also be recordedutilizing any number of databases or so forth.

Next, the system enforces the monetization of the data involved in thetransaction (step 506). In one embodiment, the monetization of the dataand associated transaction involved in the transaction may be governedby the smart contract.

FIG. 6 is a flowchart of a process for documenting a transaction inaccordance with an illustrative embodiment. The process of FIG. 6 maybegin by generating a timestamp for the transaction (step 600). Thetransaction may be timestamped utilizing any number of standards. In oneembodiment, the transaction is marked in a blockchain logo in Unix/Epochtime which is the time 00:00:00 UTC on Jan. 1, 1970 minus leap seconds.An Epoch timestamp may provide a universal time stamp that issearchable, accessible, readable, and recognizable across locations,time zones, and so forth. Accurate time keeping is required to ensurethat transactions are properly documented to ensure accurate valuations,ownership, transactions, and monetization of the tokens and associateddata. For example, the utilization of Epoch/Unix timestamps may allowfor greater reliability when retrieving a datapoint associated with thetransaction.

Next, the system stores the transaction information including thetimestamp on the blockchain (step 602). As part of this process, a newblock of information may be added/chained together. For example, oncenew data comes in the data is entered into a fresh block. Once the blockis filled with data it is changed on the previous block, which makes thedata chained together in chronological order.

Next, the system ensures secure utilization of the data (step 604). Thedata may be accessed utilizing a key or identifier included in thetoken. As previously noted, the data may be de-identified ordisassociated from the user to prevent identity theft, hacking, or anyother unwanted usage of the user's data.

The illustrative embodiments may be utilized to create corporate andconsumer data estates. Corporation, entity, group, family, or user maybe tokenized as a data estate. The data grouping of the estate mayinclude each data profile element with a single profile and corporationdata profile, groups of data profiles, and token-based micro shares tiedto data points, data objects, data sets, data pools, datavisualizations, and data estates. Artificial intelligence may beutilized to verify the data is current and complete. The single andgroups of data profiles may be ranked by value and desirability. Dataestates may be similarly involved in transactions and monetized as isherein described.

The decentralized nature of the illustrative embodiments includingutilization of blockchain technology may allow any currency to beexchanged for access to data. As a result, the existing pay per click(PPC), pay per view (PPV), cookie targeting, or other existing modelsmay become obsolete. Many of these blind targeted advertising models areineffective and costly to corporations or groups that purchase or accessthe data. The illustrative embodiments focus on data completeness bymotivating users to provide accurate and real time data for enhancedvalue to advertisers. As a result, many of the best guess, blind, orimplied processes are not optimally utilized for ad generation andtargeting. The value provided by the data refinery, data vault, and dataexchange may lead to higher conversion rates over standard advertisingand marketing campaigns that utilize generic digital format websiteadvertisements.

The data valuation and monetization system and methods herein describedare also disruptive because they give profile owners visibility andcontrol over which companies, groups, entities, or individuals areauthorized to access their data and which parties are blocked access.For example, a whitelist and a blacklist may be utilized to specify theparties that have full, limited, or no access to the data. As a result,blocked parties are prevented from participating in any transactions fortokens/data for which they are unauthorized.

The illustrative embodiments allow for the reduction or click-fraudevents, wasted advertisements, and reduce the need to monitor ad networktraffic for indications of bot or other fraudulent mechanisms used tofalsely imply higher web traffic numbers, ad-clicks and ad-views onadvertisements or targeted content further ensuring internet activityand consumer responsiveness to advertisements are genuine.

The illustrative embodiments also provide a platform for users tosecurely store their data in a data value that obscures unwanted accessto their data. For example, the identifying information for the user maybe disassociated from their data and profile. As a result, user profilesand data may be more freely shared with approved advertisers, brands,marketers, and others and lessens the need for those parties to focusrevenue on blind and behavioral targeting that historically hasexceptionally low conversion rates.

The illustrative embodiments provide a methodology to define and valueuser data by measuring user engagement and data verification, dateprofile completeness, profile data point saturation, data pointmarketability, data point desirability and market specific data. Theplatform may also indicate that specific data has become less or moredesirable and may indicate when data is static, non-static, everchanging or perennial, or less desirable through the utilization of thedata platform and data marketplace.

In the illustrative embodiments, token purchases and payouts may bedocumented in smart contracts and stored on the blockchain. The smartcontracts may be executed by users and parties (e.g., advertisers,marketers, analysts, researchers, etc.) who trade access to the data fora full or partial share of the token. Tokens may be exchanged betweenparties based on needs and desires. The data may be valued based on howoften it is updated, modified, verified, and based on overallcompleteness.

FIG. 7 is a flowchart of a process for monetizing data in accordancewith an illustrative embodiment. As previously described, the processmay be performed by a special platform, system, device, equipment, orcomponent. The process of FIG. 7 may begin by receiving one or more datacomponents associated with user data of a user from one of a number ofsources (step 702). The data components may represent various types ofdata, numbers, profiles, or other information associated with the user.The data component may also be referred to as data elements. Thereference to the data components in FIG. 3 may represent one or moredata components that are received in a session, simultaneously,sequentially, or concurrently. The data components may be receivedthrough any number of processes, devices, platforms, or so forth. Forexample, the data elements may be received through online applications,baskets of goods, paper receipts, or electronic purchases, videoselections, point-of-sale, foot traffic, location, surveys, social mediaselections, web consumption and history, audio input, or devices, suchas wireless devices, personal computers, e-books, digital assistants,vehicles, gaming devices, virtual/augmented reality systems, or soforth. The platform may also confirm the data component is applicable tothe user and/or verifiably received from the user. In one example, asdata is received, the user may ask a verification question, such as “isthis Blair?” The platform may also utilize machine learning to recognizeactivities, programs, and behavior associated with each of a number ofusers that may utilize the electronic devices that are part of or incommunication with the platform. The platform may also receive specificuser input to confirm that data belongs to the user or originated fromthe user or their authorized activities. For example, the user mayverify that the data component is accurate and resulted from actions,activities, selections (active or passive), opt ins, surveys,codes/passwords/pins, biometric recognition, feedback, or data of theuser. In another example, the user may determine that the data componentwas not received utilizing approved methods or processes. As a result,the data component may be deleted or otherwise removed. The datacomponent may not be incorporated into a larger data set, or a dataprofile associated with the user. The user maintains control over theirdata and how it is captured, managed, monetized, and otherwise utilizedby themselves and third parties. Incomplete data sets may be marked asincomplete to request data sets for completion as needed.

Next, the platform creates on or more tokens based on the user data(step 704). In one embodiment, the token includes an indicator, such asa secure link, instructions, algorithm, key, secure identifier, orpointer that points to the user data. The indicator may also grantaccess to the holder/recipient to access the user data securely as anauthorized party. In another embodiment, the token itself may includethe user data. In other embodiments, a portion of the user data that isless personal may be included in the token and additional user data thatis more personal may be linked to by the token.

Next, the platform stores the user data in a secure location (step 706).As noted, the user data may be stored with or separately from the one ormore tokens. The user data may be stored in a secure server and/ordatabase accessible through one or more networks. For example, a secureconnection (e.g., virtual private network connection, encryptedconnection, secure accounts, etc.) may be utilized between devices orsystems to ensure the safe communication of the one or more tokens, userdata, and other applicable information.

Next, the platform vends the user data to a party utilizing the one ormore tokens (step 708). The party may represent one of a number ofparties that have purchased, leased, rented, licensed, or otherwiselegally acquired access to the one or more tokens and associated data.During step 708, the token may be transferred, or access may be granted.As previously noted, the user data may be made available to the partyfrom the secure location utilizing an indicator included in the one ormore tokens.

In another embodiment, the platform or a separate device may generate anadvertisement in response to the user data. The advertisement may begenerated on behalf of the party based on step 708. The advertisementmay represent a physical, digital/electronic, temporary, remote display(e.g., billboard, store sign, etc.) or other advertisement, marketing,or information that may be presented to the user audibly, visually,tactilely, or through other techniques. For example, digitaladvertisements may be displayed through mobile applications, computerprograms (e.g., browsers, search tools, etc.), or other mediums. Theadvertisements may also be displayed based on location or proximity.

Next, the platform compensates the user for vending the user data (step710). In one embodiment, during step 710, the party may purchase thedata or otherwise compensate a service provider, vending party, or userassociated with the data. Any number of tracking processes may beutilized to ensure that all transactions are processed with money,currency (e.g., digital currency, physical currency, electroniccurrency, etc.) being exchanged or transacted. The user may becompensated based on a preset time period (e.g., day, week, month, year,etc.). The service provider, aggregator, intermediaries, or otherparties may also be compensated as part of the process of step 710. Theplatform monetizes the data to ensure that the user is compensated forthe receipt, analysis, processing, and utilization of the data. Aspreviously noted, the user may elect not to receive earnings, payments,or the monetary benefit of the data being monetized. For example, theearnings (e.g., dollars, cryptocurrency, points, credit, discounts,etc.) may be donated, shared, used as a tax deduction, or otherwisedistributed to charitable groups, organizations, individuals, and soforth.

The process of FIGS. 3-7 may be performed automatically by algorithms,programs, or instructions configured to determine the validity andauthenticity of data components. The user may specify preferences forcontrolling how and when the data is utilized. For example, a granularlevel of authorization may include individual applications, companies,organizations, entities, and other permissions regarding who may accessthe data.

Any number of preparatory steps may be performed as part of theprocesses of FIGS. 3-7 . For example, a user profile may be created fora user. The user profile may be generated or determined from alreadyavailable information for the user. For example, the user profile mayrepresent one or more profiles compiled by devices, accounts, services,or so forth. The user may provide answers utilizing one or more surveys,fields, questions, or other applicable information and data to determineapplicable information and data.

FIG. 8 is a pictorial representation of a platform 800 for monetizingdata in accordance with an illustrative embodiment. The platform 800 mayinclude a data refinery 802, a data vault 804, and a data exchange 806.The platform 800 of FIG. 8 may be representative of one or more devices,such as the servers 116, data platform of FIG. 1 , or other smartnetworked device implementing specific hardware, software, firmware,and/or sets of instructions. The platform 800 including the datarefinery 802, data vault 804, and the data exchange 806 may function asseparate platforms or an integrated platform.

The data refinery 802 is utilized to create data objects and captureapplicable data to include the data objects. In one embodiment, the datarefinery 802 may be positioned within the user's existing system tocapture data that is already received, entered, gleaned, or otherwisedetermined by the existing system. The data object may be created tostore all, portions, or types of data associated with the user (e.g.,individual, couple, family, company, organization, group, entity, etc.).

The data vault 804 is utilized to securely store the data objects andadd, modify, and improve the associated data. In one embodiment, thedata vault may be utilized to collect, characterize, and value the data.The data vault 804 may also determine the pace at which new data objectsare added or updated as well as the types of data. For example, the datavault 804 may determine that information relevant to two of the user'sclients including company preferences for wireless services and legalservices are added to the data vault 804 each day. The data vault 804may be a physical or virtual storage and vault that securely storesinformation. In one embodiment, the data objects may be deidentified toremove identifying information to prevent hacking, identity theft, andother unwanted or prohibited utilization of data. The data vault 804 mayalso assign an initial value for the data object. The value may beassociated with similar data, going rates, completeness of the data, thetype of data, the user supplying the data, historical information, andso forth. The value may change at any time based on a determination ofthe platform 804 (i.e., the data vault or data exchange).

The data exchange 806 is utilized to price and perform transactions forthe data objects. In one embodiment, the data exchange 806 creates aticker associated with the data object. The ticker may be associatedwith the data object(s) for a user. The data exchange 806 allows thedata objects to be priced and purchased. In one embodiment, the exchangemay utilize secure tokens to access the data. For example, transactionsinvolving the data may represent a key for accessing the purchased orleased data. For example, the tokens may include an encryption key,password, biometric, or other secure identifier for accessing the dataobject from the data vault or other stored location.

The platform may perform data reconciliation of the information at anytime during the process. In one embodiment, a data reconciliation enginemay review the applicable information to determine products/servicesthat align with the data and interests of the user. In one embodiment,the platform may determine a portfolio of potential advertisements forgoods and services associated with the user's data or interests. As aresult, the advertisements, prompts, outreach, services, rewards, and soforth may be readily available in real-time or near real-time.

Likewise, at any time the platform may create targeted advertisementsbased on the user data. The targeted advertisements or marketing mayrepresent any number of advertisements displayed to the user includingInternet advertisements, in-application advertisements,television/video/Internet Protocol Television advertisements,radio/Internet radio, print advertisements, and other forms ofadvertisements and marketing. In one embodiment

In one embodiment, advertising and marketing may be directed toward theuser in response to a selection made by the user to opt-in to targetedadvertisements that benefit the user's interests rather than random orblind targeted advertisements. For example, the selection may involvethe acceptance of financial or legal language utilizing a graphical userinterface presented utilizing a web interface, mobile application, or soforth. The selection may be used to receive highly targeted and userspecific advertisements rather than generic advertisements oradvertisements that are not associated with the user's data andinterests. In one embodiment, a profile associated with the platform mayspecify the companies, organizations, entities, or other groups that theuser would like to support. The user's profile may also include anynumber of settings, configurations, parameters, selections, releases,authorizations, verification requirements, or other information and datathat controls how the user's data is utilized in accordance with theillustrative embodiments. The user referenced herein may also refer toone or more individuals, a group of people, an entity, an organization,associated persons, or so forth. The data may also be referred to aspersonal data, consumer data, private data, monetized data, authorizeddata, advertising data, or marketing data and may include individualdata units, data sets, data pools, and other amalgamations orcompilations of data, values, and information. The illustrativeembodiments utilize blockchain and tokens because of the need forenhanced confidentiality and performance of data transactions.

The illustrative embodiments allow blocks of user data, vending data,transaction data, and other data and information described herein to bestored across a blockchain system, platform, or network. There is nosingle point of control or failure. User's data is secured so thataccess and utilization results in compensation directly or indirectly tothe user in a way that has not happened before. The user, serviceproviders, sellers, intermediaries, exchanges, platforms, managers,and/or other parties or devices may perform create, read, update, anddelete operations on the data with an audit trail of the user data andutilization being tracked. As a result, validation, and reconciliationof all portions of the process may be performed effectively.

The illustrative embodiments may take the form of an entirely hardwareembodiment, an entirely software embodiment (including firmware,resident software, micro-code, etc.) or an embodiment combining softwareand hardware aspects that may all generally be referred to herein as a“circuit,” “module” or “system.” Furthermore, embodiments of theinventive subject matter may take the form of a computer program productembodied in any tangible or non-transitory medium of expression havingcomputer usable program code embodied in the medium. The describedembodiments may be provided as a computer program product, or software,that may include a machine-readable medium having stored thereoninstructions, which may be used to program a computing system (or otherelectronic device(s)) to perform a process according to embodiments,whether presently described or not, since every conceivable variation isnot enumerated herein. A machine-readable medium includes any mechanismfor storing or transmitting information in a form (e.g., software,processing application) readable by a machine (e.g., a computer). Themachine-readable medium may include, but is not limited to, magneticstorage medium (e.g., floppy diskette); optical storage medium (e.g.,CD-ROM); magneto-optical storage medium; read only memory (ROM); randomaccess memory (RAM); erasable programmable memory (e.g., EPROM andEEPROM); flash memory; or other types of medium suitable for storingelectronic instructions. In addition, embodiments may be embodied in anelectrical, optical, acoustical, or other form of propagated signal(e.g., carrier waves, infrared signals, digital signals, etc.), orwireline, wireless, or other communications mediums.

Computer program code for carrying out operations of the embodiments maybe written in any combination of one or more programming languages,including an object-oriented programming language such as Java,Smalltalk, C++, or the like and conventional procedural programminglanguages, such as the “C” programming language or similar programminglanguages. The program code may execute entirely on a user's computer,partly on the user's computer, as a stand-alone software package, partlyon the user's computer and partly on a remote computer or entirely onthe remote computer or server. In the latter scenario, the remotecomputer may be connected to the user's computer through any type ofnetwork, including a local area network (LAN), a personal area network(PAN), or a wide area network (WAN), or the connection may be made to anexternal computer (e.g., through the Internet using an Internet ServiceProvider).

FIG. 9 depicts a computing system 900 in accordance with an illustrativeembodiment. For example, the computing system 900 may represent adevice, such as one or more of the devices 101 of FIG. 1 . The computingsystem 900 includes a processor unit 901 (possibly including multipleprocessors, multiple cores, multiple nodes, and/or implementingmulti-threading, etc.). The computing system includes memory 907. Thememory 907 may be system memory (e.g., one or more of cache, SRAM, DRAM,zero capacitor RAM, Twin Transistor RAM, eDRAM, EDO RAM, DDR RAM,EEPROM, NRAM, RRAM, SONOS, PRAM, etc.) or any one or more of the abovealready described possible realizations of machine-readable media. Thecomputing system also includes a bus 903 (e.g., PCI, ISA, PCI-Express,HyperTransport®, InfiniBand®, NuBus, etc.), a network interface 905(e.g., an ATM interface, an Ethernet interface, a Frame Relay interface,SONET interface, wireless interface, etc.), and a storage device(s) 909(e.g., optical storage, magnetic storage, etc.). The system memory 907embodies functionality to implement embodiments described above. Thesystem memory 907 may include one or more functionalities that storecontent, blockchain data, parameters, application, user profiles, and soforth. Code may be implemented in any of the other devices of thecomputing system 900. Any one of these functionalities may be partially(or entirely) implemented in hardware and/or on the processing unit 901.For example, the functionality may be implemented with an applicationspecific integrated circuit, in logic implemented in the processing unit901, in a co-processor on a peripheral device or card, etc. Further,realizations may include fewer or additional components not illustratedin FIG. 9 (e.g., video cards, audio cards, additional networkinterfaces, peripheral devices, etc.). The processor unit 901, thestorage device(s) 909, and the network interface 905 are coupled to thebus 903. Although illustrated as being coupled to the bus 903, thememory 907 may be coupled to the processor unit 901.

The illustrative embodiments provide a system, method, device, andplatform that utilizes a blockchain based system for tokenizing andmonetizing consumer data, corporate data, financial data, accountingdata, personal data, family history, DNA tracking, human resources, art,real-world objects, collections, memorabilia, content, media, music,files, and video content. In one embodiment, data related to bookcollections, music collections, record collections, art collectionsteaching lesson plans, music lessons, church sermons, prayers, and soforth may be objective and tokenized for the purpose of monetization orproof of ownership, sharing, licensing, or for insurance documentationpurposes.

The platform provides a data and asset monetization methodology thattransforms data, real-world objects, and virtual objects into tokenizeddata objects through a process that refines and objectifies profiledata, corporate data, and real-world assets for the purpose oftoken-based monetization. This blockchain based data documentation andmonetization platform covers a variety of real-world object and specificcloud and Internet-based data collection, valuation, and monetizationmethodologies.

The illustrative embodiments provide a platform that offers consumers,corporations, brands, services providers, and data aggregators, acomplete data protection and monetization solution. The variousembodiments may be utilized to objectify, tokenize, and track the valueof data via the blockchain for the purpose of consumer and corporatedata valuation and monetization.

The system, method, and platform may deidentify, document, objectify,tokenize, and provide enhanced user and corporate control over access topersonal and corporate data. The platform may be utilized to mine dataassets and is used across a wide range of consumer and corporate datapools. The data includes, but is not limited to core data, derivativedata, data partnerships, data development, and provides data owners theability to monetize any single data point or multiple data points,profile groups, or large sets of data or data profile pools.

The platform may be used to tokenize and monetize physical assets, suchas real estate, property plant and equipment (PPE), square footage,capital, physical locations, mobile applications, accounts, contacts,property appraisal, data assets, corporate assets, inventories, art,collectibles, signs, furniture, receivables, and so forth. The platformmay also be utilized to tokenize and monetize intangible assets, such aspatents, copyrights, trademarks, leases, logos, brand names, brandpositioning, computer programs, digital content, files, customer lists,franchise agreements, supply chain agreements, corporate owned assets,non-fungible assets, domain names, trade secrets, and othernon-tangible, or semi-tangible assets. Intangible assets often providethe core of a company's competitive advantage and mark position and areoften the key driver of a business' success.

In a corporate and accounting embodiment latent data may becometokenized data that may be used for the purpose of corporate datavaluation and monetization, which can be used to identify and unlockinternal unused or nascent data pools that add value to their corporatebottom line. Human Resources (HR) tokens also provide additional revenuestreams through the creation of a tokenized data sets of latent datasuch as HR files, resumes, personnel files, accounting data, businessplans, employee tax forms and so forth for similar companies. Thesetokens may be purchased by similar companies or companies looking fornew employment data streams or for category indicators to identifyindustries where applicants are applying for work, high or lowunemployment, income data, housing data, franchise data, competitiveanalysis, SWOT analysis, competitors' websites and customer experiences,competitors' market positioning, competitors' pricing, and currentoffers.

In one embodiment non-profits such as churches have their own datavault, which uses the tokenization process to tokenize each church andcongregation as a tokenized asset. The creation and population of theirdata vaults, provides each church with the ability to create anddetermine the value associated with the data and tokenized asset valueacross all church owned real estate, and other physical owned churchassets through an NFT valuation, and hard asset valuation tied to thetokenization process. Additionally, churches may generate passive incomethrough the creation of prayer tokens. The platform may be used toprovide an encryption process and data donation model where churches mayaccept donations for prayer requests or prayer donation requests in thename of a specific parishioner. The donations may also be used ascontributions to the church in the name of the parishioner that theprayers are intended for. The prayer token may utilize a cryptotechnology and voice-over platform to capture the prayers and donationsmade. Now individuals in need of spiritual comfort may utilize cryptotechnology through the metaverse to access churches and prayers fromtheir parish, from their religious leaders or from the Vatican—includingthe Pope, Cardinals, Bishops, Priests, and Parishioners—to offer choiceprayers for real-time adoption. The same practice easily applies to the10,000 distinct religions worldwide.

In the illustrative embodiments, the platform is linked to a user,corporate, corporate group (e.g., human resources, accounting, legal,research and development, business, management, etc.), organization, orother profile which may be secured and accessed via the platform. Theprofile may also be directly tied to the banking account associated withthe profile for securely storing, documenting, tracking, and monetizingthe value of the data. The platform may also pay a dividend (e.g., data,financial, etc.) through blockchain or through a consumer bank accountbased on the current market price of available tokenized data. The datamay be more valuable if it is comprehensive, up-to-date, frequentlyupdated, or so forth. The platform may incentivize users to updatemissing data elements to further increase the value of the data. Forexample, added data components may help create a more comprehensive dataprofile that helps advertisers, brands, corporations, and others improveadvertising outcomes through increased advertising/marketingconversions, data utilization, and so forth.

The illustrative embodiments provide for enhanced refinement, valuation,and monetization of tokenized assets. The platform may be paired withthe blockchain to connect consumers, brands, advertisers, retail,corporations, and other groups through real-world processes ofaggregating, monetizing, and distributing data utilizing blockchain.Advertisers, services providers, and others may reach, access, andutilize consumer or corporate data more effectively. Decentralized smartcontract-based data and asset monetization may improve results forindividuals, companies, creators, licensors, distributors, and others.

The various embodiments may utilize a deidentification process tofurther maximize how different types of data may be utilized. Smartcontracts and blockchain management may be utilized to effectivelymonetize the different types of assets. The platform may utilizeartificial intelligence and machine learning to provide recommendationsfor aggregation, utilization, or monetization of a tokenized dataprofile.

The platform may utilize a virtual private network to further providesoftware, secure communications, analytics tools, widgets, programs,apps, or widgets to

FIG. 10 is a flowchart of a process for creating content forcompensation in accordance with an illustrative embodiment. The processof FIGS. 10-23 may be implemented by one or more devices, and platformsas herein described. As described, the various methods, flowcharts,steps, systems, platforms, and devices throughout may be combined,integrated, or utilized in any order. The data and content referencedherein may be created by any number of content creators (e.g.,individuals, professionals, content creation employees, students, etc.),3^(rd) party content creators, fan-based content creators, and so forth.

The process may begin by generating a user profile (step 1000). The userprofile may be generated based on information provided by one or moreusers. The users may represent individuals, families, corporations,organizations, businesses, groups, or so forth. The user profile may beautomatically generated by one or more platforms. The user profile mayspecify how, when, where, and other details for how the data and contentmay be aggregated, processed, and monetized. The user profile may beupdated or changed at any time by the user. Alternatively, userpermissions, settings, parameters, and factors may be manuallyestablished by the user for the user profile.

The user profile may one or more secure profiles which may be securedand accessed via the platform or directly tied to the user's bankingaccount for the purpose of securely storing, documenting, tracking, andmonetizing the value of a consumer's data. The platform may also pay adata dividend on the blockchain or through a consumer bank account basedon the current market price of available tokenized consumer data whichmay provide greater returns on data value when the available data iscomprehensive. The platform may also incentivize users to update missingdata elements that help advertisers, brands, potential employers,businesses, or others to increase conversions where the end result is atargeted purchase/sale of a brand targeted item or service.

Next, the platform associates content with the user profile (step 1002).In one embodiment, the user may create the content utilizing any numberof devices (e.g., mobile phone, video camera, sound recorder, camera,screen capture equipment, etc.). As described herein, content mayinclude various types of different data, files, content, or otherinformation and data. The user profile may establish how, when, andunder what conditions the content/data may be acquired, stored, managed,or otherwise utilized.

Next, the platform objectifies the content (step 1004). The platform maydetermine the type of data associated with the content, metadata, aswell as associated information (e.g., capture data, upload data,associated activity, etc.).

Next, the platform tokenizes the content (step 1006). In one embodiment,the content may be associated with one or more tokens. The one or moretokens may be non-fungible or fungible tokens. For example, the contentmay be encapsulated as a non-fungible token. The content may includemusic, art, photographs, memes, that are incorporated in any number offiles or formats that may be tokenized virtually or physically.

Next, the platform compensates the user for sharing tokenized content(step 1008).

FIG. 11 is a flowchart of a process for processing for controllingcontent in accordance with an illustrative embodiment. The process maybegin by deidentifying the content (step 1100). As previously noted,data, files, and other content may be referred to as content or datawith specific implementations of each described more specifically. Thecontent may be deidentified so that it may be utilized in ways thatstill protect the privacy and identity of the user. For example, theplatform may comply with applicable local, State, Federal, andinternational laws, industry standards, and best practices relating toprivacy of the user, such as the Health Insurance Portability andAccountability Act (HIPAA), children's online privacy protection act(COPPA), privacy acts (e.g., US Privacy Act of 1974, Gramm-Leach BlileyAct, etc.), the European Union General Data Protection Regulation(GDPR), and so forth. In one embodiment, the user's name, address,social security number, phone number, or other personally identifyinginformation is removed from the content. In one embodiment, thepersonally identifying information is removed to enable broadutilization in a manner that protects the user. As noted, the contentand data may correspond to various types of data (e.g., personal,purchase, corporate, gaming, health, hobbies/interests, etc.).

Next, the platform documents the content (step 1102). In one embodiment,the platform may save the content including all of the applicable data,files, and content in a digital ledger (associated with a blockchaintechnology), secured database, server, cloud storage system, or othersecured location. The content may include documentation regarding how,when, and who may access the content as well as associateduser/corporate profile information. For example, a secure pointer may beassociated with the content. The saving may also be a separate step thatmay be performed. Documentation of content may be performedperiodically, in real-time, based on event, happening, occurrence,transaction, or based on any number of other factors, conditions,settings, parameters, or so forth. In one embodiment, a virtualrepresentation of the collected data may be stored on the blockchain andmay be accessed by the data owner. For example, a virtual representationmay be presented as a data visualization for the purpose of valuation,and monetization, providing the unique ability to better visualize datavalue in order to illustrate the value of each individual data point,data pool, data insights, utilization, and other collection or utilizeddata to give consumers/companies better insight and control over how,when, and who is able to monetize or utilize their content/data. Datamay be presented as a data visualization utilizing a browser, program,mobile application, virtual reality, augmented reality, holographic,dedicated displays, audibly, tactilely, or utilizing a combinationthereof. The platform provides a data marketplace and exchange to buy,sell, and trade data assets and physical/real world assets. The ownersof the data may sell, lease, license, or perform other transactions forthe data at any time.

Next, the platform objectifies the content (step 1104). During step1104, the platform may determine the type of content and an associatedcategory of content/data if applicable. The platform may denote thetypes, amounts, and details of the content. The objectification of thecontent may also include capturing metadata regarding the content.

Next, the platform tokenizes the content (step 1106). In one embodiment,one or more tokens are created to access and control the content. Thetokens may represent fungible or non-fungible tokens. In one embodiment,a non-fungible token (NFT) is a unit of data stored on a digital ledger,called a blockchain, that certifies a digital asset to be unique,potentially of value, and therefore not interchangeable. The NFTs may beused to represent content, such as real-world items, art, collectibles,photos, videos, audio, and other types of digital files. Access to anycopy of the original content may not be restricted to the buyer of theNFT. While copies of these content may be available for anyone toobtain, the NFTs may be tracked on blockchains to provide the owner witha proof of ownership that is separate from copyright.

In another embodiment, ownership of the content may be dividedfractionally between multiple parties with each token including a shareor percentage of the ownership of the item or content. As a result, thedifferent owners/assignees may receive payments for monetization of thecontent through payments (e.g., cash, ACH, direct deposit, etc.) oradditional tokens.

The token may include a secured pointer or link to the content stored inthe digital ledger or secured database. The link may be utilized toshare or manage the data.

Next, the platform sets user control over the content (step 1108). Theuser may specify settings, parameters, configurations, and otherinformation that control how the content may be utilized, monetized, orotherwise managed. The user control information may include data fromthe applicable profile (e.g., user, company, gaming, social media,etc.). The information utilized to control the content may specify howthe content/data is managed and distributed by an information dataexchange. For example, the platform controls may specify howadvertisers, marketers, artificial intelligence, research groups, orothers may utilize the data. The platform and approved data collectionprocess directly connects users with interested parties (e.g.,corporations, marketers, advertisers, etc.) for increased control andmonetization for both consumer and corporate data. The illustrativeembodiments provide an improvement over the pay-per-click models inwhich there was little control over data collection, management, andutilization.

FIG. 12 is a flowchart of a process for targeted advertisements inaccordance with an illustrative embodiment. The process of FIG. 12 mayalso be implemented by one or more advertising, marketing, or othercompanies that has authorized access to the applicable data or content.The process may begin by anonymously identifying specific data points,content, and brand affinities based on the content (step 1200). In oneembodiment, the platform may utilize software installed on multipledevices to track the applicable data and content. The data and contentmay be tracked, aggregated, and/or saved without any identifyinginformation. As a result, the data may be utilized in unique wayswithout compromising the privacy, safety, and security of the user(whether consumer, corporate, private, public, governmental, etc.).Various levels of deidentification may be utilized. For example, in somecases all of the personally identifying information, except for theapplicable zip code and gender may be removed. In another example, thecity and age of the user along with the applicable data points, content,and brand affinities may be tracked. Any different combinations ofdeidentified and specific data may be utilized based on the needs,interests, and wants of interested parties. Different types ofartificial intelligence, machine learning, or advanced logic may beutilized.

Next, the platform purchases access to the data points, content, andbrand affinities (step 1202). The platform may purchase access from theapplicable content/data owner. As noted, the platform may provide aplatform for tracking, aggregating, saving, selling/buying/monetizingthe applicable data.

Next, the platform targets consumers with advertisements for productsand services of interest utilizing deidentified data (step 1204). Anynumber or type of advertisements, marketing materials, or other dataimplementations may be implemented by the platform. The platform mayutilize television, Internet, in-application, radio, search, print, orother advertisements to target the applicable consumers.

FIG. 13 is a flowchart of a process for utilizing corporate data inaccordance with an illustrative embodiment. All or portions of theprocess of FIG. 13 (and other processes) may be performed automaticallywithout user interaction. The process of FIG. 13 may begin by obtainingcorporate data (step 1300). The corporate data may be retrieved,tracked, or aggregated from any number of sources. Established datasources may be utilized for all or some of the data. New gatherprocesses, servers, software, inputs, or databases may also be utilizedto track additional data. The platform may provide corporations feedbackregarding valuable or potentially valuable data that the corporationsis, could be, or might track or record in the past, present, or future.

Next, the platform tokenizes and saves the corporate data (step 1302).The corporate data may be securely stored with one or more pointers,links, or access codes to the corporate data. The corporate data may bestored separately from the token or within the token.

Next, the platform values the corporate data (step 1304). The platformmay value the corporate data based on the types of data, amounts ofdata, data update level (e.g., within 2 hours, days, weeks, months,years, etc.), users associated with the data, data completeness, and soforth. In one embodiment, one or more scores may be assigned based onthe potential value of the data as described herein.

Next, the platform determines potential monetization strategies for thecorporate data (step 1306). The monetization strategies may bedetermined based on the unique types and amounts of data. In oneembodiment, the data may represent physical assets, such as real estate,property plant and equipment (PPE), capital, land, buildings, squarefootage, accounts, inventories, art, collectibles, receivables, or soforth. In another embodiment, the data may represent intangible assets,such as patents, trademarks, copyrights, leases, logos, brand names,brand positioning, computer programs, customer lists, franchiseagreements, supply chain agreements, lottery positions, non-fungibleassets, domain names, trade secrets, and other intangible assets. Themonetization strategies may include selling or leasing the data. Thedata may also be accessed by advertisers, marketers, researchers, orothers.

Next, the platform presents the monetization strategies (step 1308). Themonetization strategies may be communicated to the user based on thedeterminations of step 1306. The platform may automatically recommendone or more monetization strategies based on algorithms, historicalresults, monetization trends, and so forth. The platform may present themonetization strategies audibly, visually, or through any number ofmediums. Emails, in-application messages, text messages, audio/videocommunications, or other communications or messages may be utilized.

Next, the platform monetizes the corporate data based on permissions(step 1310). In one embodiment, the permissions may be saved within theuser profile. In another embodiment, the platform may require anaffirmative selection or acknowledgement regarding how the corporatedata is going to be monetized before the process may begin (e.g.,advertising, marketing, research, machine learning, etc.).

In another embodiment, the corporate data may represent data that isutilized by a user or individual to earn an income. For example, thecorporate data may represent the social media content, profile, andpresence of an influencer. The corporate data may represent informationfrom websites (e.g., gaming, communication, fan, retail, etc.), socialmedia profiles, computer programs, mobile applications, and so forth.

FIG. 14 is a flowchart of a process for generating a tax return inaccordance with an illustrative embodiment. The illustrative embodimentmay be utilized to provide an enhanced tax collection and filingprocess. The process may be utilized for individuals in the lowest taxbracket, to high-net-worth employees and entities. The tax andbusiness-related information may also be utilized as described in FIG.13 , other Figures, processes, and methods herein described. The varioussteps may tokenize data during the process for easy utilization,securitization, and/or potential monetization.

The process may begin by aggregating client data for a client fromavailable sources (step 1400). Applicable accounting and tax data may beacquired from any number of sources, such as accountants, CPAs,bookkeeping/accounting software (e.g., TurboTax, H&R Block, FreshBooks,Sage Business Cloud Accounting, Account Edge Pro, Wave, Xero, and soforth. The platform may also evaluate past and present accountinformation, account balances, transactions, corporatepurchases/services, inventory, purchase orders, and other applicableinformation. The client may approve access to sensitive data to reduceor eliminate the need for third party data collection services therebyreducing the potential for identity theft, fraud, loss of savings, ortheft of intellectual property. Not all of the retrieved or aggregateddata is relevant. The platform may utilize various parameters, criteria,artificial intelligence, machine learning, or so forth. The platform mayalso remove or filter sensitive data to protect the privacy,intellectual property, trade secrets, know-how, and confidential worksof the client (as well as their clients, patients, etc.). In oneembodiment, a profile may be generated for the client. In oneembodiment, the data may be deidentified so that it may be more broadlyshared and utilized without compromising the safety, security,advantage, and privacy of the client.

Next, the platform determines a relevant tax return strategy based onthe profile of the client (step 1402). The platform may compare theinformation, data, and profile for the client to a number of otherentities or organizations. The platform may identify the most similarentities with successful tax returns and filing strategies. Byidentifying similar companies, the client may be able to utilize asimilar path, strategy, structure, documentation, and efforts to besuccessful in the marketplace and with applicable government regulationand laws. For example, a selection of the most similar or relevantcompanies may be determined based on success metrics (e.g., share price,profitability, sales revenue, net profit margin, gross margin, customerloyalty and retention, net promoter score, etc.), known audits,reputation, professional rankings, and so forth.

Next, the platform automatically creates a template tax return based onthe relevant tax return and the data (step 1404). The platform may usethe most relevant tax return strategies and filings from selectedcompanies as a template to create a tax return template for the client.Different strategies and forms may be combined from a single company ormultiple companies to generate the best potential template tax returnfor the client. Different companies may have relevant corporate detailsthat may best match up with the client, and as a result, their differenttax filing strategies may be utilized.

Next, the platform populates the tax return with the aggregated data(step 1406). The already aggregated data may be utilized to populate thetax return for filing. The tax return may include federal and statefilings. The tax return may also include any number of yearly payments,statements, declarations, or other filings that may be requiredthroughout the year. The same methodology may be utilized for any numberof managements, business, technology, or other processes that may beduplicated.

In one embodiment, the automatically completed tax return may becommunicated for review by the user(s), an accountant, and/or tax returnprofessional/service. For example, approval may be required before theone or more tax returns may be filed. An artificial intelligence ormachine learning review may be performed by the data platform beforefiling the tax return. Any issues or problems may be communicated as analert at any time during the process of FIG. 14 . The issues may requirecorrections from one or more users. The platform may also electronicallyfile the one or more tax returns (e.g., Federal return and one or moreState returns) to complete the process. Likewise, the platform may beutilized to perform audits or comparisons of other tax returns toprovide feedback, generate alerts, suggests changes, or provide inputregarding past, present, or future tax returns, forms, strategies, andso forth.

FIG. 15 is a flowchart of a process for monetizing DNA data inaccordance with an illustrative embodiment. The process may begin bycreating a DNA profile (step 1500). The DNA profile may also be referredto as a user profile. The user profile may specify name, age, sex,ethnicity, birthday, birth location, parents, blood type, ancestryrecords, health history, home address, and any other applicableinformation. The user profile may include required and optional datathat may be utilized to provide additional information to the user. Forexample, the data may also include medical history of diseases,conditions, ailments, issues, or other conditions. The DNA profile mayspecify the user's history of cancer, heart disease, autoimmuneconditions,

Next, the platform uploads DNA data to the DNA profile (step 1502). TheDNA data may be acquired through any number of publicly or privatelyavailable DNA tests (e.g., AncestryDNA®, 23andMe®, MyHeritage®,FamilyTreeDNA®, etc.) or sequencing processes. The DNA data may includethe entire genome sequence of the user or only portions of the genomicsequence. The DNA data may be uploaded based on explicit permissionsfrom the user. Data may be associated between different platforms,servers, or databases. For example, the DNA profile may be updated basedon the DNA data. The platform may also be configured to performsequencing to gather the DNA data from a user specimen (e.g., saliva,blood, etc.).

Next, the platform tokenizes the DNA data (step 1504). The DNA data maybe tokenized as herein described. The DNA data may be tokenized with orwithout user identifying information. For example, for variousapplications, such as medical research, the identifying data may beremoved from the DNA data to protect the privacy of the user. The usermay specify in the DNA profile how the tokenized DNA data may beutilized. For example, a user may specify that their DNA data may beutilized for medical research if their private information isdisassociated from the DNA data. The user may also specify that theirDNA data may be utilized to propose medications, treatments, remedies,or other wellness benefits. The DNA data may only be associated withtheir private information based on a request that is verified by theuser and agreed to terms (e.g., privacy, payment, etc.).

Next, the platform monetizes the DNA data tokens based on preferenceswithin the DNA profile (step 1506). In one embodiment, the DNA datatokens may be processed, sold, licensed, leased, rented, shared,analyzed, purchased, or otherwise managed by the data platform orotherwise made available to authorized individuals, groups, entities, orso forth. The DNA data tokens may be permanently or temporarilytransferred. In some embodiments, the tokens may be utilized within theplatform (e.g., a controlled ecosystem) to ensure that privacy rightsare not violated. In one embodiment, the user associated with the DNAdata is compensated in hard currency or cryptocurrency every time thattheir DNA data is utilized. As a result, the user benefits from sharingtheir DNA data rather than companies that may acquire the data illegallyor utilizing questionable methods.

In one embodiment, the deidentified data may be utilized to determineDNA profiles and data that may be useful to any number of parties orentities. As a result, the user may be anonymously approached with anynumber of offers for licensing or sharing all or portions of their DNAdata.

The DNA data may be utilized by medical professionals, pharmaceuticalcompanies, citizen scientists, and others for the benefit of the user.Control of how and when the tokenized data is utilized is maintained bythe user unless assigned, sold, or transferred at the user's approval.

FIG. 16 is a flowchart of a process for monetizing gaming data inaccordance with an illustrative embodiment. The process of FIG. 16 maybe utilized by players of various skill levels (e.g., novices, amateurs,experts, professionals, influencers, etc.) in-game trophies, badges,accomplishments, and purposes for playing. The process may begin bycreating a gaming profile (step 1600). The gaming profile may includename, age, username, address, billing information, avatar, friends,privacy/sharing settings, interests, and so forth. The gaming profilemay be similar to gaming profiles already utilized by players acrosssystems, platforms, and networks. The gaming profile may also beautomatically generated based on information applicable to a console,computer, or other applicable profile or data.

Next, the platform hosts a game generating gaming data (step 1602). Thegame may be hosted by the platform itself or by third-party platform orsystem that communicates with the platform. The platform may obtain orcapture the gaming data utilizing any number of processes, such as gameplay, questions/surveys, purchases, or so forth. The gaming data mayrepresent trophies, rewards, certificates, achievements, levels, taskachievements, completion percentage, time periods, game events,checkpoints, or other applicable information that indicates status,gameplay, or achievements. The gaming data may be gathered through aplayer/player profile progressing through a video game and completinggame elements. The game may represent any number of different games(e.g., role-playing, strategy/intellectual, action, action-adventure,first-person shooter, simulation, sports, massive multiplayer onlinegames (MMO), etc.). Gaming data may also be captured during the game,uploaded, or transferred as collected or singular gaming data. Forexample, the gaming data may be automatically updated based on

Next, the platform inserts the gaming data in the gaming profile (step1604). The gaming data may be cumulatively added to the gaming profileassociated with the user periodically (e.g., hourly, daily, weekly,etc.), based on game play, based on achievements/progress points, or soforth. The updates to the gaming profile may be performed automaticallyor in response to player inputs, selections, and/or approval. Theupdates may be performed in real-time, periodically, or based onapproval from a user.

Next, the platform tokenizes the gaming data (step 1606). The gamingdata may be encapsulated, integrated, attached, linked, or otherwiseassociated with one or more tokens. As previously noted, the tokens mayrepresent nonfungible tokens, gaming tokens, crypto currency tokens, orso forth. Agreements with the player may specify how the tokens areutilized and managed. In one embodiment, the player controls and manageshow the tokens may be utilized to ensure the players privacy, digitalrights, personal contact, and so forth is protected. In one embodiment,the gaming data may include video, audio, images, or other contentassociated with the player's gameplay that may be monetized. Forexample, the players greatest moments as captured may be included astokens that may be licensed, distributed, auctioned, sold, or otherwisemonetized.

Next, the platform monetizes the gaming data based on preferences withinthe gaming profile (step 1608). As noted, the gaming data may bemonetized utilizing any number of nonpermanent, semipermanent, orpermanent transactions (e.g., licenses, royalties, sales, exchanges,etc.). The player may also implement any number of trades ortransactions utilizing the tokenized gaming data. The platform mayenable players to monetize their skills, efforts, games, highlights, orso forth. The platform may also enable various individuals or groups tosponsor a player through the purchase or license of tokens tied aspecific gamer profile. The gaming data is monetized based on thepreferences of the player. The player may have individual preferences,requirements (e.g., legal, moral, etc.), parameters, rules, or settingsthat govern how their gaming data may be monetized. The preferences arehonored to ensure that the players are satisfied with the results of themonetization and so that additional players are comfortable utilizingthe tokens and process of FIG. 16 .

As previously noted, the players may be incentivized and/or compensatedwith rewards, coins, tokens, fiat currency, corporate branded tokens,physical steam points, in-game currency or credits, real-world prizes,cash, or any form of blockchain based tokens. The process may also beutilized by game developers or managers to make determinations based onplayer input (e.g., influencers, experts, fans, etc.). Tradeable in gamerewards, skins, or other tradeable virtual items may be tokenized as anNFT and sold to other users through verifiable and traceabletransactions via the blockchain.

Any number of processes may also be utilized to monetize or createvaluable gaming data. For example, in-game challenges, surveys,advertisements, or other data gathering and monetization techniques andmethodologies may be utilized. Players may also be rewarded andincentivized for top players/performances, level/achievement completion,finding a special item, fastest players to complete a game, and soforth. Developers may be able to form groups of subject matter expertsand game experts that may facilitate existing and future gamedevelopment. Players, third-parties, brands, and others may becompensated for creation of content, advertisements, video tips, fancontent, and so forth. Retiring games or gamers shifting gamingplatforms may monetize their data through the sale of their profile,steam tokens, cryptocurrency, or so forth that may be converted fromdigital bounties, rewards, trophies, or tokens.

Game developers, advertisers, and others may utilize the gaming profilesand data that are legally acquired to provide targeted marketing,advertising, offers, updates, opportunities, and so forth. Theuser/gamer controls monetization and utilization of their own data andprofiles as tokenized on the blockchain as described herein.

FIG. 17 is a flowchart of a process for distributing content inaccordance with an illustrative embodiment. The content of FIG. 17 maycorrespond to content or profiles, or influencers associated with socialmedia content, gaming content, artistic content, sporting/recreationalcontent, intellectual content (e.g., code, writing, whitepapers, quotes,essays, inventors, scientists etc.), movies, videos/skits, comics,documentaries, and so forth. Data related to book collections, musiccollections, record collections, art collections, virtual collections,teaching lesson plans, music lessons, church sermons, prayers, quotes,and so forth may be objectified and tokenized for the purpose ofcontrolled sharing, donation, monetization, proof of ownership, orinsurance documentation process. The illustrative embodiments allowcorporate and personal data to be tokenized and monetized.

The process may begin by providing an incentive for a user to generatecontent (step 1700). Users may be incentivized utilizing any number ofmonetary (e.g., currency, crypto currency, etc.) or non-monetaryincentives (e.g., status, coupons, discounts, etc.). The incentives orsolicitations may be proposed utilizing one or more smart contracts thatmay be reviewed by the player/user for the purposes of transparency,clarity, and openness. In one embodiment, opinions as content may bevery valuable. As a result, users that participate may be compensated(e.g., money, cryptocurrency, coupons, discounts, rebates, prizeentries, etc.). For example, governments, cities, companies,organizations, churches, non-profits, advertisers, outreach providers,brands, or other data solicitors may obtain real-time information anddata that those parties may consider important and relevant. The contentmay also relate to a user or group's location or intended destination.The location information may be shared in order to receive localmarketing and advertising content for business trips, vacations,companies exploring relocation, and so forth.

Next, the platform receives the content (step 1702). The content may bereceived through an upload, in-application capture, screen captures,survey, user selections, import/export, messages (e.g., email, text,in-application message, etc.), and other processes. The content mayrepresent an image, video, galleries, security camera content, metadata(e.g., time logs, data collected, etc.), audio, text, artwork, digitalcollectible, domain name, ticket, or other file or content. Video,audio, and other content may be captured from any number of sources(e.g., news events, sports video, paparazzi, amateur videographers,investigation, individuals, etc.). The content may be valued aspreviously described. Monetization strategies may be determined for thereal-time and potential or unrealized value of content. The monetizationstrategies may be presented to the user for review and approval, or themonetization strategies may be automatically implemented withoutinteraction, based on user preferences, or based on user approval.

Next, the platform tokenizes the content (step 1704). The content may beidentified utilizing blockchain as unique and novel and assign a datavalue calculation. Any number of existing blockchain tokens may beutilized as well as proprietary tokens. For example, themed or brandedtokens may allow any company or organization or non-profit to createtheir own cryptocurrency or blockchain tokens. For example, a brand orchain may initiate a themed or branded promotion using a corporatebranded token data collection campaign that may be used to connect toconsumers through data collection and consumer shared data access inexchange for tradeable or monetizable branded tokens. The tokens may begamified in a way that encourages users to collect each branded tokenthat acts as a puzzle piece to create a collectable puzzle image createdthrough the collection of each unique token puzzle piece. The tokens mayhave an associated shape, number, image, number, or other associatedinformation for completing the puzzle One or more websites orapplications may be utilized to collect, place, assemble, or otherwiseutilize the token alone or with other individuals, groups, or entities.In one embodiment, the type of tokenization process may be selectedbased on the best blockchain technology or token for the type ofcontent. For example, an asset such as artwork may benefit from tokentracking methodologies that are different from that of personal asset,such as the image of a college or pro sports athlete that allows theathlete to manage their persona as a marketable asset.

In one embodiment, data related to vehicles, such as ownership, title,gas mileage, service record, emissions, tire readout, recalls, and soforth may be tokenized for alerts and monetization via the platform.This information may be utilized by owners, dealers, or others tovalidate relevant information during a transaction for or regarding thevehicle.

Next, the platform distributes the tokenized content (step 1706). In oneexample, the tokenized content may be distributed or communicatedutilizing tokens. The tokens may include the content. In anotherexample, the tokenized content may include a link to the content. Thetokenized content may be purchased, leased, or otherwise temporarilyaccess as noted. As previously noted, the content may be modified toprevent identifying information from being included. As a result, thevalue of the content and tokens may be maintained while removinginformation that may personally identify and individual or company.

Next, the platform monetizes the tokenized data based on a smartcontract (step 1708). The smart contract may govern how the contentassociated with the tokens, cryptocurrency, platform/exchange, isutilized. The smart contract ensures that all portions of the agreementare fairly implemented.

FIG. 18 is a flowchart of a process for monetizing human resource datain accordance with an illustrative embodiment. In one embodiment, latentcorporate, human resources (HR), and accounting data may be valued andmonetized. The human resources data may include demographic data,recruiting data, performance management and efficiency data, talentdevelopment data, succession planning data, compensation and bonus data,engagement and retention data, time tracking (absentee) data, medicalleave data, benefits data, and other similar information. The processmay begin by acquiring human resources data from one or more corporateentities (step 1800). The human resource data may represent all orportions of the data associated with employees of a company, entity, ororganization. The human resources data may be captured from any numberof systems, platforms, software, operating systems, corporate serviceproviders, or so forth (e.g., SAP, SuccessFactors, Sage Business CloudPeople, Workday Human Capital Management, BambooHR, Fresh Team, Gusto,ADP, etc.). The human resources data may be captured as part of theonboarding process for the applicable employees. For example, the humanresource data may include information captured as HR files, resumes,personnel files, accounting data, business plans, employee tax forms,and so forth for similar companies. Employees may include executives,managers, salaried employees, hourly employees, independent contractors,and others that perform work on behalf of the company, entity, ororganization. In one embodiment, the identifying information may beremoved from the human resource data to protect the privacy and securityof individuals associated with the human resource data.

Next, the platform tokenizes the human resources data (step 1802). Thehuman resources data may be tokenized to include or link to the humanresources data. Secure access to the human resource data may be providedthrough the tokens, links, or identifiers. The human resources data maybe deidentified to prevent unwanted identification and to minimize risks(e.g., identity theft, corporate data theft, etc.).

Next, the platform markets the tokenized human resources data (step1804). The human resource data may be valuable based on the associatedorganization, number of employees, perspective, and other informationthat may be valuable to research companies, advertisers, marketingcompanies, hiring companies, or so forth. The tokens may be purchased bysimilar companies or others looking for new employment data streams,application data, income data, housing data, franchise data, competitiveanalysis, strength, weakness, opportunity, and threat (SWOT) analysis,market positioning, offer information, and other indicators, data,details, or information.

Next, the platform monetizes the tokenized human resources data (step1806). The tokenized human resource data may be monetized internally orexternally. In one example, the employment agreement of the employeesmay specify that human resource data may be captured and monetized theemployment agreement, or a smart contract may also stipulate whether theemployee receives any compensation for utilization of the tokenizedhuman resources data. The platform or associated company may market,advertise, or display the type of human resources data that may beavailable to interested parties.

Next, the platform compensates the one or more corporate entities formonetizing the tokenized human resources data (step 1808). The tokens ortokenized content may be purchased by companies, consulting groups, orothers looking to enhance their recruitment, development, training, andperformance efforts as well as develop appropriate and competitivecompensation, benefits, culture, and other company characteristics. Inone embodiment, human resources data is acquired from the aforementionedentities regarding sexual harassment, employment termination, and age,gender, and race discrimination/equality efforts that may be tokenized.These tokens may be purchased by other companies to develop or refinetheir diversity, equality, and inclusion programs, standards, andefforts. Tokenized data assets may be monetized at any time even duringa bankruptcy to enhance the value of the data.

FIG. 19 is a flowchart of a process for processing carbon credits inaccordance with an illustrative embodiment. In one embodiment, theprocess of FIG. 19 may be implemented by a trading platform (e.g., dataplatform). Carbon credits are used a system and method to reduce theemission of greenhouse gases to limit global climate change. In oneembodiment, a carbon credit is a permit or allotment that allows thecompany that holds the carbon credit to emit a certain amount of carbondioxide or other greenhouse gases (GHGs). In many cases, companies thatdo not need all of their credits may sell the credits to other companiesthat may need additional credits. Typically, a carbon credit is equal toone ton of carbon dioxide. Any number of existing cryptocurrency coinsor tokens may be utilized. In another example, a new cryptocurrency coinmay be utilized.

The carbon credits may be utilized by owners, purchasers, traders, andother parties that may represent large companies, governments, farmers,landowners, airlines, freight haulers, at-risk nations (e.g., islandnations), and others. The carbon credits are associated with tokens tovalidate authenticity, verification, need, conservation/carbon offsetefforts, document the process, and perform effective management. Thecarbon credits may be associated with coins, tokens, or transactionsutilizing a smart contract. The carbon credits may also be associatedwith specific locations (e.g., GPS coordinates, latitude/longitude,legal title for properties, acreage, etc.) for the generation of carboncredits, protection of the land, advanced utilization, or otherpurposes. For example, the process of FIG. 19 may be utilized to ensurethat specific tracts of land, acreage, square footage, associated with acarbon credit are utilized to remove more carbon from the air than wasproduced by the purchasing party.

The illustrative embodiments also facilitate the connection of companiesand organizations who have an excess of carbon credits with companieswho have exceeded their carbon production/utilization limits by allowingthe companies to purchase additional credits to maintain compliance andgood standing. For example, Bitcoin or cryptocurrency miners, serverfarms, or other groups/individuals may purchase carbon credits tomitigate their carbon footprint for automobiles, aircraft,computers/servers, factories, to create environmentally neutral, green,or carbon-reduced footprints. The illustrative embodiments may be run asan industry group, cooperative, collaborative group, or private entityin order to promote carbon credits outside of the political influenceand uncertainty of governments, politics, and politicians.

The process may begin by receiving carbon credits (step 1900). Thecarbon credits are allocated to applicable companies. The allotment ofcarbon credits may vary based on the type of company, output, number ofemployees, critical nature of the company (e.g., healthcare, energyproduction, manufacturing, etc.). In one embodiment, the carbon creditsmay be ascribed an identifier (e.g., numerical value, hash, verificationcode, etc.) as each coin is minted/generated providing a novelelectronic method to draw on the carbon credits and accurately track thecoins and associated credits. In another embodiment, different users,parties, or companies may receive carbon credits based on carbonsequestration performed. Carbon may be sequestered by performedutilizing any number of systems, methods, or devices (e.g., geologicalsequestration, biological sequestration, direct air capture, etc.). Forexample, greenhouse gases may be captured from industrial facilities,power plants, dairies, or other facilities and then injected undergroundfor captured, enhanced oil recovery, or other processes. Carbon creditsmay also be generated by protection or use/non-use of land (e.g., notdeforesting the Amazon rain forest, planting carbon capturingcrops/trees/plants, etc.) and other proactive or passive steps. Specificlocations, properties, acreage, forests, parcels, or regions may be tiedwith one or more of the carbon credits. The process may allow companiesor farmers with an excess of carbon credits to tokenize carbon creditsfor trade or sale on the tokenized asset marketplace.

Next, the platform tokenizes the carbon credits (step 1902). In oneembodiment, the carbon credits may be associated with coins or tokens.During step 1902, tokens may be generated/minted to include the carboncredits and associated information. The coins require associated carboncredits to be associated with them. As a result, all coins are backed byan associated amount of carbon credits (e.g., 1 MT, ton, etc.). In oneembodiment, a numerical value may be assigned to each block of credits.As a result, the platform may draw down and account for all credits,their sale, and utilization.

Next, the platform markets the carbon credits (step 1904). Entities withsurplus carbon credits may market the associated coins or tokensutilizing the platform. The needs of different entities allow for thecarbon credits to be exchanged with the money involved utilized tosupport environmental efforts and offset the effects of emitting carbondioxide or other greenhouse gases, undesirable materials, or potentialpollutants.

Next, the platform performs transactions involving the carbon credits(step 1906). In one embodiment, each time a carbon credit is utilized,the associated coin may be converted or tokenized as a non-fungibletoken or alternative type of coin (e.g., designated for utilized carboncredits). The record of the utilization includes all applicableinformation including creation date, carbon credit, transactionsentities, transactions dates, utilization/retirement date, emissiondata, data for the company/entity utilizing the carbon credit, offsetinformation, and so forth. Transactions may also involve partial tokensto allow smaller companies to participate in the process. As a result,partial carbon credits associated with partial coins may be tracked,managed, transacted, and utilized.

Next, the platform documents the transactions to ensure fair utilizationand monetization of the carbon credits (step 1908). The transactions maybe recorded in a digital ledger (e.g., multiple digital ledgers) foropen and transparent review. For example, the ledger may track eachinstance the coin associated with the carbon credit is traded on thesecondary market. All retired carbon credits associated with a token orcoin may be indexed for reference. Used carbon credits may be drawn downfrom an overall, national, regional, or local account, count and/ortracking system. The blockchain system implemented by the platformprovides an immutable ledger for each unique record of carbonretirement. For example, retired credits may be indexed and tokenized asan NFT. The ledger may track each instance the applicable coins aretraded on the primary or secondary markets as the assets are held,traded, or monetized.

In one example, certified carbon credits may be valued at $8 per metricton (MT) with pre-certified credits valued at $4 per MT. All tokens orcryptocurrency coins may be backed by certified or pre-certifiedcredits. Each coin may be backed either by 12 MT of certified credits or24 MT of pre-certified credits. Credits that are bought pre-certifiedtypically have a lower initial cost providing a cost benefit whenpurchased as pre-credits. There may be a combination of certified andpre-certified credits backing each coin at a ratio of 2 to 1(pre-certified to certified). The credits collateralizing each coin maybe uniquely identified by an authorized group or party, such as GECCommunities, Inc. for the contract, concession, and time period ofcreation.

Each coin holder may have the ability to sell the underlying creditsfrom the asset holding vehicle (e.g., coin, token, etc.) at a fixedcosts per metric ton. The sales may be performed by authorized parties.The trading platform may impose limitations regarding the number oftimes that the coins may be traded per year or other time period. In oneembodiment, if the credits are sold for a price greater than apredetermined amount or threshold (e.g., $6.40 net cost), the additionalproceeds will belong to the coin holders. When credits are solid fromthe coin reserve, an entity, group, or conservator (e.g., GECC) may bepaid 80% of the price ($8.00×0.80=$6.40 and the balance of the fund willstay in the coin holding vehicle for distribution. The managing entitymay immediately replenish the coin with the number of credits that havebeen sold to ensure that the coin(s) are always properly collateralized.

In one embodiment, the difference per ton between the sales price andthe threshold (e.g., $1.60 per metric ton—$8−6.40) may be distributed tothe coin holders with any administrative costs/fees subtracted from thetotal each time the sale occurs. For example, the funds may be utilizedto cover overhead for managing the platform/exchange (e.g.,approximately $0.24 per MT of the $1.60) with net proceeds (e.g., $1.36per MT) distributed to the coin holders, such as the coin holder thatsells the coins. Once the seller has been compensated for all creditsthat are collateralizing the coin(s) the balance may be distributed on aPari Passu basis (i.e., equally without preference) across the coinholder base. The coin holder that sells the underlying carbon credits ispaid first in the payment distribution for the sale. If a coin holdersells a volume of carbon credits greater than his underlying collateralthe holder is effectively selling the credits backing other coins. Eachindividual coin holder has the right to “reserve” the carbon creditsbacking their coin(s) which are effectively removed from the total poolof carbon credits available to be sold or utilized. The act of reservingthe credits may eliminate the possible duplicate sale of the creditsfrom the pool. For example, a managing party or entity (e.g., GECC) mayensure that the carbon credits are properly allocated, associated withcoins/tokens, and added/removed from the applicable pool. In oneembodiment, when credits are sold, a token or coin may be generatedpermanently identifying those credits that have been retired and mayclearly identify the related carbon signature that the credits areoffsetting. All records associated with the carbon credit cryptocurrencymanagement will be securely recorded and stored in the platform inconjunction with the books and records of the tracking organizations toensure transparency, environmental protection, and best practices.

FIG. 20 is a flowchart of a process for monetizing tokens associatedwith a sports player in accordance with an illustrative embodiment. Theprocess may begin by receiving a request to generate a token for asports player (step 2000). In one embodiment, the sports player mayrepresent a developing, recreational, amateur, semi-professional,college, professional, expert, or other sports athlete regardless ofskill level. The player(s) may also represent non-sport relatedindividuals, such as chess players, influencers, scientists,intellectuals, politicians, specialists (e.g., doctors, lawyers, craneoperators, engineers, etc.), or any number of individuals,organizations, or entities. The sports players may have rules, laws,limitations, or standards regarding the legal, organizational,standard-based, or other requirements that each player is required toadhere to comply with. For example, amateur, semi-professional, orcollege athletes may have limitations regarding the compensation,sponsorship, or other payments that they may receive to maintain theirstatus (e.g., amateur, non-professional, collegiate, etc.), and complywith applicable laws, rules, and standards. The token may represent thename, image, profile, appearance, and likeness of the player. In otherembodiments, the token may also represent a moment (e.g., score, play,response, historical moment, sentimental moment, etc.), event, image,likeness, achievement, video, meme, file, physical items, or othercontent associated with the player. Teams may also tokenize their logo,stadium, roster, pictures, or other content for recreational,entertainment, amateur, college, semi-professional, professional, orother teams.

Next, the platform generates one or more tokens associated with thesports player (step 2002). In one embodiment, the one or more tokens mayrepresent the applicable content in any of the aforementioned formats.For example, the token may be associated with a player profile. Thetoken may include the applicable content. For example, the content maybe embedded, included, or integrated in the token. In another example,the token may include a reference or link to the content. The token mayalso include a smart contract. The smart contract may be utilized forsponsoring the player, licensing the content, paying royalties,purchasing the token (and/or associated content), and otherwiseperforming transactions for the content. In one embodiment, the tokenmay be associated with physical or third-party ownership (e.g., itemsheld in escrow, museums, etc.) or game or practice used items, such assigned balls, uniforms, shoes/footwear, skates, bases, rims, nets, tees,pads, pucks, helmets, hats, car parts, and so forth. The one or moretokens may represent nonfungible tokens or fungible tokens. For example,amateur, college, and professional sports players or personalities(e.g., referees, announcers, ball girls/boys, umpires, etc.) may createprofiles. Different players may tokenize their persona to make itavailable to marketers, advertisers, companies, or others. For example,different offers, spokesperson roles, sponsorships, licenses, royalties,deals, or transactions may be performed virtually, electronically,and/or in person.

Next, the platform markets the tokens associated with the sports player(step 2004). The platform may manage the tokens associated with a numberof players. The platform may communicate the available tokens utilizingany number of communications methods including mobile applications,websites, programs, email, text message, advertising (e.g., television,radio, browser, games, etc.), magazines, and other applicable methods.The platform may receive tokens from any number of sources.

Next, the platform brokers transactions involving the tokens associatedwith the sports player (step 2006). The platform may be configured toreceive offers from any number of potential purchasers, licensees,assignees, owners, or so forth. The platform may allow buyers/sellers,licensors/licensees, or other applicable parties to negotiate applicableterms (e.g., price, time period, exclusivity, license fee, royalty rate,etc.).

Next, the platform performs transactions involving the tokens associatedwith the sports player (step 2008). As previously noted, any number oftransactions or transaction types may be performed utilizing theplatform. The platform may also allow each party to ensure that thetransaction is performed fairly and transparently for both parties. Forexample, utilization of the blockchain may ensure that all transactionsare performed transparently. The platform may also be configured totrack additional distribution, sub-licenses, sales, or othertransactions involving the content and tokens.

Next, the platform documents the transactions to ensure fair utilizationand monetization of the carbon credits (step 2010). In one embodiment,the platform ensures that applicable information is able to be recordedin a blockchain digital ledger. The platform may also include one ormore databases and digital ledgers for ensure open and fairtransactions.

FIG. 21 is a flowchart of a process for protecting a precious assetutilizing a token in accordance with an illustrative embodiment. Theprecious asset may represent any number of precious physical assets oritems. The precious asset may represent any number of physical assets oritems that are valuable, collectible, or have monetary, intrinsic, orsentimental value. The precious asset may also represent crude, raw,mined/unmined processed/refined, or other land, crops, natural resources(e.g., gold, gems, metal, rare earth elements or materials, etc.), orother materials or items. In some instances, the item is additionallydocumented with an RFID, tone, inaudible tone, chip, or other additionaltracking device which may be used to provide additional authenticity anditem verification.

In one embodiment, the process may begin by receiving a precious asset(step 2100). The precious asset may be received by an escrow group,repository, bank, financial institution, or other group authorized toreceive and process precious assets. The precious asset may represent aprecious metal, gem, or stone. In another embodiment, the precious assetmay also represent digital or real-world artwork, paintings,collectibles (e.g., sports, non-sport activities, cards used in gameitems, stamps, coins, vintage clothes, toys, vehicles, etc.) andsporting memorabilia, or any physical items with actual or perceivedvalue. In one example, the precious asset may represent one or morediamonds, platinum, gold, silver, lithium, precious metals, preciousgems, and so forth. In another example, the precious asset may representunmined diamonds or precious metals that are still in the ground. Forexample, a specified location, parcel, claim, vein, acreage, orgeographic space may be designated.

Next, the platform determines information regarding the precious asset(step 2102). The information may describe the year ofcreation/discovery, location associated with the precious asset,manufacturer/discovering party, previous owners, value (e.g., appraised,intrinsic, expected, sold, etc.), description, and other applicableinformation. For example, where the precious asset is a precious metalor stone, the information may indicate the material type, number ofkarats, weight/troy ounces/pounds, stone quality, clarity, country oforigin, mine/discovery location, processing information, previousowners, chain of title, modifications, maintenance, and so forth. Thequantity and quality of the precious asset are very important todetermine.

Next, the platform associates the precious asset with one or more tokens(step 2104). Identifying information regarding the precious asset may beassociated with the one or more tokens. For example, a serial number,bar code, QR code, identification, number/marking/symbol, address,watermark, inaudible tone, tone, RFID, geolocation, or physicallocation, may be associated with a unique digital identifier (e.g., hashnumber, private key, public key, address, etc.) The precious asset maybe associated with a single token or multiple tokens. For example,ownership may be held by a single owner or may be shared betweenmultiple parties. In one embodiment, the information regarding theprecious asset may be tokenized to form the one or more tokens in aunique or existing cryptocurrency or token. Any number of tokenizationprocesses may be utilized.

Next, the platform communicates availability of the one or more tokensassociated with the precious asset (step 2106). The platform maycommunicate availability of the precious asset utilizing any number ofwebsites, messages (e.g., email, text, in-application message, etc.),interfaces, newsletters, newspapers, electronic communications, mobileapplications, or so forth. The communications regarding the preciousasset may indicate the availability to purchase, lease/rent, license, orotherwise perform transactions for the precious asset. The platform mayperform any number of marketing, advertising, and promotional activitiesitself or through integrated, connected, or associated software,systems, platforms, devices, or so forth. In one embodiment, theplatform may stipulate a price or value for the precious assetrepresented by the one or more tokens. For example, the valuation mayrepresent the quantity multiplied by the price. Any number of otherfactors (e.g., meta/gem type, karats, weights, troy ounces, quality,purity, form, required processing, etc.) may also be utilized to valuethe precious asset.

Next, the platform implements transactions for the one or more tokens(step 2108). The platform may implement one or more transactions for theone or more tokens associated with the precious asset. For example, apurchasing party may purchase the tokens associated with the preciousasset utilizing hard currency, cryptocurrency, wire payment, electronicpayment, or other acceptable payment forms (“monies”). The platformensures that the transaction is properly performed and documentedutilizing one or more digital ledgers. The platform may also coordinatewith one or more escrow groups, banks, financial institutions, or othergroups that may be securely storing the precious asset for the pastand/or future owner(s).

Next, the platform distributes monies paid during the transactions (step2110). The platform may receive and process monies from the transaction.As noted, payments and distributions may be made utilizing any number ofhard/fixed currencies, cryptocurrencies, or other accepted financialcurrencies or instruments.

FIG. 22 is a flowchart of a process for authenticating a token utilizingan inaudible tone in accordance with an illustrative embodiment. Theprocess of FIG. 22 may be performed as tokens are created or as data,content, information, or items are tokenized as described herein. Inanother embodiment, tokens may be enhanced or revised after creation orat any time. The process may begin by receiving a token (step 2200). Asnote, the tokens may represent any number of nonfungible tokens ortokens representing virtual or digital items, virtual items, or physicalitems and assets. The process may be performed utilizing any number ofdifferent blockchain tokens.

Next, the platform determines information regarding an item associatedwith the token (step 2202). The item may represent a virtual item,digital item, file, physical asset (e.g., mined and unmined preciousgem/metal/coin, artwork, vehicle, home, collectible, etc.), or othercontent. The information may be related to the value of each asset andcan contain metadata or details regarding the item, such as ownership,year created, creator/artist/manufacturer, identifying information(e.g., serial number, make/model, etc.), previous owner(s), condition,escrow location/company, and other applicable information. In the miningembodiment the tokenization process digital assets tied to mined andunmined assets are created and tokenized creating the ability to provideand track mined precious assets, and also track unmined precious assetsthat remains in the mines. The information within may include, but isnot limited to, mining rights, precious metal or gem grade, the minename and location, and market price fluctuations and market price at thetime of purchase. In one embodiment unmined assets may be tokenized andvalued with market rate pricing or fixed pricing at the time of assetpurchase. Assets that require mining to extract value may be valuedprior to the asset being mined. These unmined assets may be sold atmarket rate or sold at a spot price with a determined discount off ofthe market rate cost of the unmined asset. The buyer would assumedownside risk whereas they benefit from the increase in the market priceof the precious metal. A single platform may be utilized to create,manage, market, monetize, and create new revenue streams and assetvaluations around asset quantity, price, tied to hard asset valuationaround real time tokenized asset price determination, fluctuation, andvaluation. The purchase of tokens tied to mined and unmined preciousmetal provides reduced operational and risk management costs, compliancewith security, privacy and data sovereignty regulations in globalmarkets and enhances existing anti-money laundering controls, frauddetection, sanction screening, regulatory reporting and may also act asa capital investment for future mining projects.

Next, the platform integrates an inaudible token with the tokenproviding at least the information (step 2204). The inaudible tone isone or more audio signals that are inaudible to humans. The inaudibletone may be utilized to communicate the information as well asadditional details about the token, the item, available transactions, orother information.

Next, the platform provides the inaudible tone to authenticate the tokenand the item (step 2206). For example, the inaudible tones may beutilized within a space to market the availability of the token and/oritem for purchase, auction, licensing, or other applicable transactions.The inaudible tone may also be utilized to verify that the token isauthentic. The information may include a certificate, Internetverification information, or other details for a potential party toverify and authenticate the token/item. The inaudible tones may also beutilized to verify any purchase, sale, license, or utilization of eachunique token over time. In one embodiment, the platform or a physicalitem may be tagged or include an audio watermark with an inaudible tonetransmitter in order to communicate the inaudible tones to one or morespeakers, receivers, or personal computing devices, such as smartphones, tablets, wearable electronics, vehicles, or other electronicdevices to validate and authenticate the token/item. The illustrativeembodiments incorporate by reference U.S. Pat. Nos. 10,460,709,11,030,983, 10,242,518 along with the associated description anddrawings.

FIG. 23 is a flowchart of a process custom token generation inaccordance with an illustrative embodiment. The process of FIG. 23 maybe applicable to any number of companies, groups, or organizations. Inone embodiment, the process may be applicable to a restaurant or store.The process may begin by designating a restaurant or store profile (step2300). The restaurant profile may specify information regarding a singlelocation, multiple locations, a region, a chain of restaurants, or soforth. The restaurant or store profile may specify hiring, workerretention, consumer connections, best practices, marketing, brandoutreach, campaign connectivity, and so forth.

Next, the platform receives content associated with the restaurant (step2302). The content may also include internal information, such asconsumer spending habits, loyalty rewards effectiveness, laborperformance, inventory, parking lot traffic, grill times, drive thrutime, seating times, food preparation times, customer satisfaction, andso forth. The platform may also tokenize real-world objects ranging fromgrills, kitchen equipment, signs, decorations, furniture, statues,artwork, or so forth.

Next, the platform generates custom tokens for the restaurant utilizingthe content (step 2304). Any number of tokens may be generated for thecontent or assets associated with the restaurant. The custom tokens maybe generated for single stores, restaurants, franchises, regions,associations, or other groups.

Next, the platform monetizes the custom tokens (step 2306). The tokensmay be utilized to sell, lease, loan, or otherwise utilizes the physicalor virtual assets of the restaurant. The platform may also value thetokens and associated content. Tokens and the associated content may bemonetized based on remodels, upgrades, sales, or so forth.

Next, the platform performs transactions involving the custom tokens(step 2308). Hard currency, cryptocurrency, trades (e.g., inventory,food, goods, etc.) or other monetary exchanges may be utilized.

Next, the platform documents the transactions involving the customtokens (step 2310). The transactions may be recorded by one or moredigital ledgers.

FIG. 24 is a pictorial representation of physical and virtual itemsassociated with a blockchain token in accordance with the illustrativeembodiments. The items 2402 may represent any number of physical,virtual, or physical and virtual items that may be associated with ablockchain token.

In one embodiment, a token 2400 may be associated with any of the items2402. The token 2400 is representative of one or more blockchain tokensthat may be associated with the items 2402. The items 2402 may include agem 2404, a profile 2406, an unmined asset 2408, a data asset 2410,content 2412, a family tree 2414.

The gem 2404 may represent any number of precious gems, nuggets, rocks,jewels, jewelry, or valuable objects. In one embodiment, an identifier,hash, or other information associated with the token 2400 may be laserengraved on the gem 2404. Alternatively, a container or label of the gem2404 may include the applicable information associated with theblockchain token 2400.

The profile 2406 may represent a physical or virtual profile. Forexample, the profile 2406 may represent a gaming profile, an Internetprofile, a social media profile, a DNA profile, personal profile,corporate profile, or other type of profile. The profile may begenerated based on compiled information or may be generated over timebased on the activities, actions, and/or other observed behavior of theuser that is authorized to be utilized. As previously noted, the usermay authorize all or portions of the data in the profile 2406 to becompiled, shared, or otherwise utilized.

The unmined asset 2408 may include land or property that has verifiedminerals, gems, hydrocarbons, trees, crops, water, or other obtainableassets. The unmined asset 2408 may define a geographic area that may bemined, explored, or otherwise monetized. For example, the geographicarea may be legally or geographically limited utilizing globalpositioning information, demarcations, boundaries, area, or so forth. Asis known, the size, shape, and configuration of the unmined asset mayvary significantly for the applicable terrain.

The token 2400 may be associated with the unmined asset 2408. Theunmined asset 2408 may be tokenized with unmined, raw, refined, or othernatural resources (e.g., hydrocarbons, water, trees, crops, herds,flocks, fields, minerals, metals, deposits, etc.). In one embodiment,the token 2400 may specify the location, boundaries, and limitations ofthe unmined asset 2408. The token 2400 may also specify the miningrights/ownership, grade of the unmined asset 2408, location/mine name,permits/regulations/laws, market price at the time of purchase, andadditional information. In one embodiment, a sign 2409 may provide theapplicable information associated with the token 2400. The sign 2409 mayalso represent a document or other digital resource. In one embodiment,the sign 2409 may be positioned at the location of the unmined asset2408. In other embodiments, the sign 2409 may be associated with legalnotices, postings, or documentation associated with the unmined asset2408. The unmined asset 2408 may also be associated with a farm or ranch(e.g., crops, herds, etc.).

In one embodiment, a mine owner, operator, or other controlling partymay sell access to tokens associated with tons of materials, portions ofthe property, royalty rights, or other portions of the mine itself orretrieved or unretrieved materials or resources. Sale of the token 2400may be performed to allow the owner to receive capital investments,operating capital, or as an investment tool for individuals that buy thetoken 2400. Individual investors or groups may diversify theirinvestment portfolio by buying tokens that are verified, authenticated,and validated before the tokens are generated. The price of the tokensmay be fixed, variable with the spot price, or otherwise establishedbased on the condition, processing, and future processing required forthe unmined asset 2408. The buyer may assume downside risk associatedwith buying the token as well as the potential upside if the price ofthe resource increases over time. The token 2400 and others associatedwith the unmined asset 2408 may be traded over time on an exchange orplatform as is described herein.

The data asset 2410 may represent any number of digital assets or adigital representation of a physical asset. For example, the digitalasset 2410 may represent any number of profiles (e.g., gaming, Internet,online, HR, legal, investment, insurance, work, entertainment, etc.)that are controlled or owned utilizing the token 2400.

The content 2412 may represent physical, digital, or other content thatis represented by at least the token 2400. For example, the content 2412may represent artwork, collectible items, event tickets, music, media,games, videos, graphics, images, websites, domain names, memes,clothing, furniture, designs, pictures, courses/lessons, moments/events,and other content created, witnessed, or captured.

The family tree 2414 may represent the ancestry information of the userthat is represented by the token 2400. The family tree 2414 may alsoinclude DNA information and a profile of the user (see for exampleprofile 2406 or digital asset 2410). The family tree 2414 informationmay be shared with any number of family members, extended relatives, orfriends.

FIG. 25 is a representation of a token created based on an asset inaccordance with an illustrative embodiment. In one embodiment, a system2500 may be utilized to create a token 2502. The association between thetoken 2502 and the asset 2510 may be one-to-one. Alternatively, theasset 2510 may be controlled by multiple tokens. The token 2502 mayrepresent a nonfungible token. The token 2502 may represent an asset2510 (see FIG. 24 for a few examples). The asset may represent one ormore of a physical asset 2512, a digital asset 2514, or a virtual asset2516. The token 2502 may include an audible tag 2520. In one embodiment,the audible tag 2520 may include an audible identifier 2522. The audibleidentifier 2522 may include a unique alpha-numeric identifier that isutilized to identify the asset 2510 associated with the token 2502. Theaudible tag 2520 and audible identifier 2522 may alternatively bereferred to as a tag and identifier especially if differentbroadcast/signal types are used (e.g., light, sensors, etc.).

The system 2500 may include a registry 2504. The registry may store alldata and information associated with the audible tag 2520 includinginformation and data relevant to the token 2502. The audible tag 2520may represent the audible identifier 2522 at a specific frequency. Aspreviously noted, the audible identifier 2522 may include inaudibletones/signals, audible tones/signals, optical signals, and/or acombination thereof. The audible identifier 2522 may include encodeddata, patterns, or so forth. The data may be easily read or may beencrypted. The inaudible tones or signals are inaudible to humans.

In one embodiment, any number of electronic devices 2530, such as apersonal computer 2532, smart phone 2534, tablet 2536, or otherelectronic devices (e.g., appliances, servers, security systems,commercial electronics, gaming devices, etc.) may be configured tolisten for or detect the audible tag 2520 and the associated audibleidentifier 2522. The electronic devices 2530 may communicate with thesystem 2500 through any number of networks 2540. The networks 2540 mayrepresent one or more wireless, satellite, wired, private, public, orother networks.

When the token 2502 is created the token 2502 includes or is associatedwith the asset 2510. The audible tag 2520 may be included in the digitalasset 2514 or virtual asset 2516 (e.g., added, asset modified, newversion created, etc.). The audible tag 2520 may be associated with thetoken in the registry 2504. The audible tag 2520 and audible identifier2522 may be issued by an individual, company, organization, externalsources, and/or a combination thereof. The audible tag 2520 may beutilized to perform validation and authentication of an NFT, such as thetoken 2502. The audible tag 2520 may communicate all or a portion of theinformation (e.g., publicly available information) stored within thetoken 2502. The integrity of the asset 2510 may be further protectedutilizing the audible tag 2520. In one embodiment, the token 2502 may beuploaded, moved, or stored in a chip 2550.

The chip 2550 may include all or some of a processor/logic, memory,speaker, microphone, transceiver/interface, and/or sensors. The chip2550 may be attached to or integrated with the physical asset 2512. As aresult, the token 2502 may be better utilized to identify the physicalasset 2512. The audible tag 2520 may be inserted by the originator,owner, creator, or other rights holder of the asset 2510 as part of thetokenization process or other processes. The audible tag 2520 may beutilized to track the purchase, sale, license, transfer, or changes tothe token 2502 and associated asset 2510 over time.

When the token 2502 is opened, viewed, transacted, or otherwise engaged,the audio tag 2520 may be activated to emit a signal 2540, such as asound (e.g., audible or inaudible), or light signal (e.g., visiblelight, ultraviolet, infrared, etc.). As noted, the electronic devices2530 may detect the signal 2540 to identify the token 2502 andassociated information and data including the audible tag 2520 andaudible identifier 2522.

In one example, a movie trailer may be tokenized into the token 2502.The company associated with the movie trailer may generate an audibletag 2520 including the unique audible identifier 2522 that may beincluded within the movie trailer itself. The registry 2504 may recordinformation specific to the movie trailer including all of theapplicable information associated with the token 2502.

The registry 2504 may also create a log associating the audibleidentifier 2522 with the asset 2510, metadata, audible identifier 2522,and other related information. In one embodiment, the registry 2504and/or log may be or write data to a blockchain. For example, when thetoken 2502 is utilized (e.g., played, sold, referenced, etc.) anelectronic device, such as a smart phone may “hear” the audible tag 2520to transmit the data base to the registry 2504. The registry 2504 mayperform a lookup (or other database functionality) of the registry 2504itself or associated databases, memories, servers, blockchains, or soforth. For example, a lookup of the audible identification 2522 may beutilized to perform authentication or verification of proper use,licensing/royalties, compensation, distribution, or so forth.

In one embodiment, the audible identifier 2522 may be mapped to apurchase cost, license fee, royalty, transaction fee including aspecified amount of currency. The currency may be fixed or fluctuating(e.g., real-time updates). The currency or compensation may representhard currency, cryptocurrency, rebates, discounts, or other forms ofcompensation.

In another example, the token 2502 may be utilized to purchase a ticketto an event. The ticket may require a specific amount of tokens (e.g.,full, partial, etc.) or currency within the token 2502 to purchaseaccess to the event. When the token is applied to the purchase, entry,or verification the audible tag 2520 may be emitted along with theaudible identification 2522. The registry 2504 may be utilized todetermine whether the token 2502 is sufficient to implement atransaction (e.g., sufficient cryptocurrency, tokens, cash, credits,etc.).

The system 2500 may map the audible identifier 2522 to a set oflicensing rules related to the asset 2510. The rules may provideinformation regarding, where, when, what, and how the asset may belicensed, distributed, utilized, communicated, transferred, or so forth.In one embodiment, the licensing rules may be stored in a smart contractassociated with the token 2502 that may be stored in the registry 2504.

In one embodiment, the asset 2510 may be a song (e.g., recorded musicfile, video, etc.). The song may have limited distribution rightsassociated with the holder of the token 2502 for distribution through astream platform or provider. When the digital asset 2514/song istokenized as token 2502 the audible tag 2520 along with the audibleidentifier 2522 may be inserted and mapped to the song and licensinginformation and metadata. The token 2502 may then be distributed by amusic label to a distributor. When the token 2502 is utilized to playthe song, the audio identification may be heard or found by the registry2504. As a result, the registry 2504 may ensure that the license rightsare being honored and maintained. In addition, the registry 2504 mayalso ensure that proper payments or compensation for the song are beingimplemented.

The assets 2510 may also represent physical, digital, virtual, or otherforms of memorabilia. The memorabilia may relate to sports,entertainment, science, education, and any number of other topics. Forexample, the assets may include (new or used) baseball player profiles,baseball hats, uniforms, cleats, bases, game balls, practice balls,pads, kicking tees, pucks, pads, skates, helmets, car parts, tires, andother gear, equipment, or so forth. For example, sports memorabilia mayrelate to recreational, amateur, high school, semi-professional,college, professional (e.g., NBA, NFL, NHL, MLB, etc.), Olympic, orother levels of athletes. Ownership of memorabilia may be ownedentirely, in part, or in fractions (e.g., equal or inequal).

In one embodiment, the physical assets 2512 may represent gold, preciousmetals or stones that may be tokenized based on information, such askarats, weight, quality, clarity, and so forth. The valuation typicallyuses the value equals quantity times price (V=Q*P) as one measurementtool, but other factors may be considered and utilized. The token 2502that is created based on the asset may also include informationregarding the country of origin, mine/extraction point, governmentlicenses or authorizations, manufacturing processes, companies involved,and so forth.

As noted herein, the assets 2510 that are tokenized may represent anynumber of virtual or physical assets or items that are valuable,collectible, or have monetary, intrinsic, or sentimental value. Theasset 2510 may also represent crude, raw, processed/refined, or otherland, crops, natural resources (e.g., gold, gems, metal, rare earthelements or materials, etc.), mined or unmined precious metals or gemsor other materials or items. In some instances, the item is additionallydocumented with an RFID, tone, inaudible tone, chip, sticker, or otheradditional tracking device which may be used to provide additionalauthenticity and item verification.

In one embodiment, the system 2500 may receive an asset 2510. The asset2510 and/or ownership, title, or assignment documents associated withthe asset 2510 may be received by an escrow group, repository, bank,financial institution, or other group authorized to receive and processprecious assets. The asset 2510 may represent a precious metal, gem, orstone. In another embodiment, the asset 2510 may also represent artwork,paintings, collectibles (e.g., sports, non-sport activities, sportscards, used in game items, stamps, coins, vintage clothes, toys, comics,vehicles, collections etc.) and sporting memorabilia, or any physicalitems with actual or perceived value. In one example, the asset 2510 mayrepresent one or more diamonds, platinum, gold, silver, and so forth. Inanother example, the precious asset may represent unmined diamonds,coal, lithium, or precious metals that are still in the ground. Forexample, a specified location, parcel, claim, vein, acreage, orgeographic space may be designated.

The system 2500 may also determine information regarding the asset 2510.The information may describe the year of creation/discovery, locationassociated with the asset, manufacturer/discovering party, previousowners, value (e.g., appraised, intrinsic, expected, sold, etc.),description, and other applicable information. For example, where theasset 2510 is a precious metal or stone, the information may indicatethe material type, number of karats, weight/troy ounces/pounds, stonequality, clarity, country of origin, mine/discovery location, processinginformation, previous owners, chain of title, modifications,maintenance, and so forth. The quantity and quality of the asset 2510are very important to determine.

The system 2500 may utilize the information and asset to generate thetoken 2502. All or portions of the information associated with the asset2502 may be stored in the token 2502 for utilization, transactions,monetization, tracking, management, and so forth.

The illustrative embodiments provide a path to utilized blockchaintokens to extract value from any number of physical or digital assets orcontent. As a result, a platform and market for creating, distributing,monetizing, and advertising assets and the associated token(s) may becreated. The illustrative embodiments may utilize any of the system,processes, description, and Figures of application Ser. Nos. 17/291,411,17/441,847, 16/125,236, 17/039,591, and 17/119,479 which are herebyincorporated by reference in their entirety.

The features, steps, and components of the illustrative embodiments maybe combined in any number of ways and are not limited specifically tothose described. In particular, the illustrative embodiments contemplatenumerous variations in the smart devices and communications described.The foregoing description has been presented for purposes ofillustration and description. It is not intended to be an exhaustivelist or limit any of the disclosure to the precise forms disclosed. Itis contemplated that other alternatives or exemplary aspects areconsidered included in the disclosure. The description is merelyexamples of embodiments, processes, or methods of the invention. It isunderstood that any other modifications, substitutions, and/or additionsmay be made, which are within the intended spirit and scope of thedisclosure. For the foregoing, it can be seen that the disclosureaccomplishes at least all of the intended objectives.

The previous detailed description is of a small number of embodimentsfor implementing the invention and is not intended to be limiting inscope. The following claims set forth a number of the embodiments of theinvention disclosed with greater particularity.

What is claimed is:
 1. A method for tokenization of a precious physicalasset by a data platform, comprising: determining information regardingthe precious physical asset; associating the precious physical assetwith one or more tokens, wherein the one or more tokens representownership of the precious physical asset; communicating availability ofthe one or more tokens associated with the precious physical asset;implementing transactions for the one or more tokens; and distributingmonies paid during the transactions for the one or more tokensassociated with the precious physical asset.
 2. The method of claim 1,further comprising: receiving the precious physical asset or control ofthe precious physical asset.
 3. The method of claim 1, wherein theprecious physical asset is precious metal, gem, crop, hydrocarbon, orwater.
 4. The method of claim 1, wherein the precious physical asset isknown and is unmined.
 5. The method of claim 1, wherein the one or moretokens represent blockchain tokens.
 6. The method of claim 1, whereinthe information includes at least a quantity and quality of the preciousphysical asset.
 7. The method of claim 1, wherein the precious physicalasset is securely stored at a physical location, and wherein theprecious physical asset is associated with the one or more tokensutilizing a smart contract.
 8. The method of claim 1, wherein the one ormore tokens are associated with the precious physical asset utilizing anidentifier on the precious physical asset.
 9. The method of claim 1,further comprising: generating the one or more tokens utilizing theinformation associated with the precious physical asset utilizing a dataplatform.
 10. The method of claim 1, wherein the monies are enabled torepresent currency or cryptocurrency.
 11. A system for managing aprecious physical asset utilizing one or more tokens, comprising: aplurality of electronic devices executing a data application, the dataapplication is configured to communicate information regarding theprecious physical asset; a repository storing the precious physicalassets; a data platform accessible by the plurality of electronicdevices executing the data application through one or more networks,wherein the data platform determines information regarding the preciousphysical asset, associates the precious physical asset with one or moretokens, communicates availability of the one or more tokens associatedwith the precious physical asset, implements transactions for the one ormore tokens, and distributes monies paid during the transactions for theone or more tokens associated with the precious physical asset, whereinthe one or more tokens represent ownership of the precious physicalasset.
 12. The system of claim 11, wherein the data platform receivesthe precious physical asset at a repository.
 13. The system of claim 11,wherein the information includes at least a quantity and quality of theprecious physical asset, wherein the one or more tokens representblockchain tokens.
 14. The system of claim 11, wherein a physicalidentifier of the precious physical asset is associated with theinformation.
 15. The system of claim 11, wherein a smart contractcontrols transactions for the precious physical asset utilizing the oneor more tokens, wherein the monies represent currency
 16. A dataplatform, comprising: a processor for executing a set of instructions; amemory for storing the set of instructions, wherein the set ofinstructions are executed to: determine information regarding theprecious physical asset; associate the precious physical asset with oneor more tokens, wherein the one or more tokens represent ownership ofthe precious physical asset; communicate availability of the one or moretokens associated with the precious physical asset; implementtransactions for the one or more tokens; and distribute monies paidduring the transactions for the one or more tokens associated with theprecious physical asset.
 17. The data platform of claim 16, wherein theset of instructions are further executed to: receive the preciousphysical asset at a repository for management by an owner of the one ormore tokens.
 18. The data platform of claim 16, wherein the informationincludes a quantity and quality of the precious physical asset, andwherein the one or more tokens represent blockchain tokens.
 19. The dataplatform of claim 16, wherein the one or more tokens representblockchain tokens, and wherein the indicator is an encrypted hash. 20.The data platform of claim 16, wherein the precious physical asset isowned by a plurality of owners who own the one or more tokens.